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226 Hot Public Health Thesis Topics For Top Grades

Are you stuck trying to get the best current public health research topics for thesis and writing it? If yes, know you are not alone. A lot of students find the tasks challenging, but we are here to help. Keep reading our informative guide that demonstrates how to prepare an engaging public health paper.

We will also highlight hot 226 health policy topics for paper and other public health ideas for dissertation that you can use for top grades. Why settle for less when we can help you select the best college or university papers?

What Is Public Health?

Before looking at the top public health statistics undergraduate thesis topics or other public health research ideas, let’s start with the definition. So, what is public health?

According to the World Health Organization (WHO), public health is “the art and science of preventing diseases, helping to prolong life and promote health using organized efforts. Good examples of public health efforts include preventing outbreaks, educating the public on health choices, promoting fitness, preparing for emergencies, and avoiding the spread of infectious diseases. Public health

How To Write A Great Public Health Dissertation

If you are a graduate or masters student, one of the most comprehensive documents that you need to prepare is the dissertation. It is an expansive paper and comes at the end of your course. Remember that you need to ensure it is prepared well because a team of professors will ultimately evaluate it. So, here are the main steps that you need to follow to prepare a high quality dissertation:

Identify the topic of study Comprehensively research the topic and identify the main points to support it Develop the thesis statement for the dissertation (this thesis will ultimately be tested after gathering your data) Develop an outline for the dissertation. This guide should tell you what to write at what specific instance. Here is a sample outline: Topic of the study Introduction. Start with the thesis statement, followed by the objectives of the study. Then, the rest of the introduction should be used to set the background for the study. Literature review: Review relevant resources about the topic. Methodology: Explain the methodology that was used during the study. Is Results and analysis: Provide the results gathered during the study. Discussion and conclusion: Here, you should discuss the study results and demonstrate whether they approve or disapprove the thesis statement. If you found any gaps in the previous studies, highlight them too and call for further studies. Bibliography: This is a list of all the resources you used to prepare the paper. Write the first draft following the outline we have just listed above. Write the final copy by refining the first draft, proofreading, and editing it.

Awesome Public Health Thesis Topics

Here are the leading thesis topics in public health for top grades. You can use them as they are or tweak a little to suit your preference.

Public Health Thesis Topics In Mental Issues

• What is the role of public health in addressing mental issues in society?
• Seasonal affective disorder: A review of the disorder’s prevalence rates.
• Society should always listen to the needs of mentally ill persons.
• Eating disorders in adults: A review of the treatment strategies used for adults in the UK.
• What is the relation between climate change and emerging public health issues?
• Comparing depression prevalence rates in the UK to those of the US.
• What are the main causes of anxiety disorders in society?
• A review of the connection between HIV/AIDS and mental health issues in society.
• Running a public health facility: What is the most important equipment?
• Emerging public health issues in developing countries.
• Analyzing the psychological problems of breast cancer.
• What strategies should people use to prevent their mental health from social media dangers?
• A review of the public health benefits associated with active lifestyles.
• Stress: Why is it a major risk factor for mental health in many communities?
• What are the most common mental health issues in society today?
• Comparing the rates of depression and stress in China and the UK.
• Addressing anxiety-related disorders: Is cognitive-behavior therapy the best treatment method?
• A review of the economic burden of living with a person suffering from anxiety disorders.
• How does depression impact the quality of life?
• Comparing training of public health officers in the US to India.

Unique Research Topics In Public Health

• Surrogacy: A review of associated ethical issues.
• Prevalence of medical errors in hospitals: A review of the policies used to prevent the problem in the United States.
• Blood transfusion: What are the side effects?
• A review of doctors’ roles in promoting healthy lifestyles.
• Maintaining healthy body weight: Comparing the effectiveness of the recommended methods.
• A review of organ donation trends in Europe and Asia.
• Analyzing the ethical factors around cloning: When should it be allowed?
• The ethics of human experimentation.
• Comparing the rates of heart attacks in women to men in the United States.
• What are the main causes of heart attacks? Can it be prevented?
• Progress in diabetes studies and treatment: Is it possible to get a cure in the future?
• Biological weapons and their impacts on society: A review of the Leukemia rates in Japan.
• Pre-diabetes in children: What are the main symptoms, and how can it be addressed?

Public Health Paper Topics On COVID-19

• How will COVID-19 change life?
• What are the advantages and disadvantages of self-isolation?
• Life lessons that you learned during the COVID-19 pandemic.
• What challenges has your community faced during COVID-19 pandemic?
• School life during COVID-19 pandemic.
• A review of mass media operations during pandemic.
• What projects did you undertake during the pandemic?
• A review of projects that your community undertook during the COVID-19 pandemic.
• A closer look at the backlash against Asians in Europe at the start COVID-19 pandemic period.
• Preparing for the next pandemic: What lessons did the world learn from the COVID-19 pandemic?
• The best strategies for staying healthy during a pandemic.
• Is there anything that we could have done to prevent the COVID-19 pandemic?
• Comparing the effectiveness of Europe and American healthcare preparedness for tackling disasters.
• A review of mental health status in a community of your choice during the COVID-19 pandemic.
• A review of COVID-19 emergence theories: Which one do you think is more credible?
• Comparing the impacts of the COVID-19 pandemic to Ebola.
• Vaccines development for viral infections: What made the development of the COVID-19 vaccine possible so fast, whereas that of HIV/AIDS has taken so long?
• A review of the vaccine development process.
• Time for review: How effectively do you think your government responded to the COVID-19 pandemic?
• Rethinking public health on a global scale: Demonstrating why effective healthcare is only possible when looked at globally.

Interesting Public Health Research Topic Ideas

• What is the importance of learning public health in school?
• Identify and review a common public health issue in your community.
• The history of human health: Comparing what was considered healthy in ancient times to what is referred to as healthy today.
• Going vegan: How can it impact your health?
• Excessive weight: Is it the new threat to human civilization?
• Is bodybuilding healthy?
• Body positive: Is it a new health standard or ignorance of body issues?
• Things to consider when selecting healthy food to eat.
• Why psychological health should be part of every community in society.
• The health of newborns: What is the difference between their healthcare and that of adults?
• Emerging trends in the healthcare industry: How can the latest trends benefit society?
• Comparing depression and anxiety in two countries of your choice.
• Physical wellness must include healthy behavioral patterns and nutrition.
• A sense of belonging is paramount to personal and community health.
• What is the relationship between spirituality and public health?
• A review of stigmatization of mental health issues in a community of your choice.
• Is it possible to prevent depression?
• At what point should children start learning sex-related education?
• Comparing the two main public health issues in two cities: London and New York.
• What is the relationship between poverty and public health?

Hot Researchable Topics In Public Health

• The resurgence of measles in society: The best guidance for clinicians.
• Tackling the growing national drug problem.
• Bioterrorism preparedness for global disasters.
• A review of recent vitamin D recommendations for older adults.
• Strategies for maintaining maternal mortality at low levels across the globe.
• Efforts by Asian governments to reduce infections from using unsafe water.
• Over-the-counter drug abuse in Europe: Compare two countries of your choice.
• Health care providers’ roles in preventing bullying in society.
• Knowledge management in the UK healthcare organizations.
• The health benefits of good healthcare waste management.
• Characteristics of dental wastes in hospitals.
• Comparing the most prevalent public health issues in developed and developing nations.
• Latest trends in financing public health.
• The relevance of clinical epidemiology in public health.
• Evidence based public health.
• Epidemiological burden of HIV/AIDS in developing countries.
• Addressing cervical cancer in developing countries: Is it possible to eliminate it completely?
• Ethics in public health clinical research.
• Comparing the strategies used in teaching and motivating public health professionals in developing and developed countries.

Research Topics In Public Health For Masters

• Advertising and impacts on food choices in the community.
• The use of stem cell technologies for cancer treatment: What are the latest trends?
• Bio-printing: Is it the future of organ transplants?
• Nutrition education: How does it promote healthy diets?
• Exercising: What role does it play in promoting strength and balance in the elderly?
• Weight loss surgery: What are the key advantages and disadvantages?
• Heart disease is a major public health issue in society.
• Alternative strategies for treating depression in society: Are they effective?
• Healthcare leadership and its importance in public health.
• Legal aspects of public health care in the society.
• Mental disabilities in patients: A review of the emerging trends in the UK.
• How does the United States promote the development of public health?
• Inequalities in medicine: What impact does it have in public health?
• The most controversial issues in public health in the UK.
• What are the most preferred storage systems for medical supplies in the UK public health facilities?
• Reimagining the public health systems on the globe: Where do you see the UK health system in the next 20 years?

Top Thesis Topics In Dental Public Health

• Common oral health issues in Ireland.
• A review of common problems of endodontically treated teeth.
• The role of good leadership skills in dental education.
• Child management techniques between male and female practitioners.
• What role does ergonomics play in dentistry?
• Dental material and bio-engineering: What are the latest trends?
• A review of the relationship between diabetes and oral health in the society.
• The role of electronic health care record systems used in public health.
• Comparing dental health issues in the developing and developed countries.
• A review of public awareness of dental health issues in a community of choice.
• How can you ensure that all the food you buy is safe and healthy?
• What strategies are used by your local health community to promote dental awareness?
• Dental health management in California: What do you think should be done differently?
• Are you satisfied with the strategies used to address dental issues?

Hot Thesis Topics Public Health

• Mandatory overtime work for medical staff: How does it impact their commitment to their job?
• Nursing shortage and its impact in public health.
• Strategies for improving public health in the EU.
• Mental health issues among asylum seekers in the United States.
• Common mental issues among veterans returning from war: A case study of the United States.
• What functions does management play in healthcare settings when handling key public health issues?
• How poor relationships between nurses and doctors can impact public health services delivery.
• Third-party players in public health and their roles.
• Financial reporting standards in public health facilities.
• What is the correlation between revenue collection in society and the quality of patient services?
• Reviewing the coordination of public health officials during disasters.
• The importance of staff training on quality of health services.
• Comparing the differences between alternative medicine and conventional medicine in addressing public health issues in society.
• Obesity: What are the main causes in child-going age?
• A review of health consequences of caffeine.
• Medical marijuana: What are the main pros and cons?
• A review of the US Farm Bill Amendments that legalized use of cannabis in the US.
• Doing sports: Is it always healthy?
• Low-fat or low-carb diet: Which one is better in addressing overweight and diabetes issues?
• Preventing communicable diseases: Evaluating the prevention strategies used in Asia.
• What is the estimated cost of treating heart problems?

Controversial Public Health Dissertation Topics

• Smoking and impacts of current efforts to address cancer in the society.
• A review of the main causes of heart attacks in society today.
• Tobacco ads: Evaluating their impacts and the relationship to the current cancer trends in the society.
• Sleep disorders: Explain why they should be considered a public health issue.
• Staffing shortage and the impacts in fighting COVID-19 pandemic in Asia.
• Analyzing risk management of treating different diseases in the community.
• COVID-19 pandemic in numbers: Comparing the infection rates in the developed and developing countries.
• Reviewing strategies used in the US public health system to achieve equity: How effective are they?
• Analyzing the main challenges in the UK medical care system.
• Rising cases of suicides in the society: What are the main causes?
• A comprehensive review of strategies used to prevent suicides in the 21st century in the US.
• Use of vaccines to prevent diseases: Do adults still need the vaccines?
• Heat-related deaths: What strategies should be adopted?
• Chronic-diseases prevention: Comparing the strategies used in developing and developed countries.
• Are we becoming too dependent on antibiotics in fighting diseases?
• Opioid crisis: Are the doctors to blame for it?
• Use of blockchain in growing accuracy of clinical trials in medicine.
• What dangers are posed by nuclear wastes in society?
• Assessing US industrial facilities compliance rates to cut down emissions.
• Using clean energy as a strategy of improving public health: What are the expectations?
• What is the healthiest country?
• Evaluating the correlation between gaming and deviant behavior among children in society.
• COVID-19 could have been prevented if WHO was more vigilant?

Public Health Research Questions

• Is the high cost of medical healthcare in the United States justified?
• What is the correlation between poverty and poor health in society?
• Should health care for homeless people be free?
• Unconventional medicine: Should it be part of the UK healthcare system?
• Should doctors be responsible for medical errors?
• Should medical officers or health facilities be allowed to promote selective medical products?
• Should all healthcare facilities in the UK be required to have translators for non-English speaking clients?
• Mental health issues associated with domestic violence: A case study of France.
• Is it a good idea to legalize euthanasia?
• What are the benefits of using surgical masks in public?
• What are the most important lessons from the different waves of the COVID-19 pandemic reported on the globe?
• Who is more responsible for the COVID-19 pandemic?
• Ebola or COVID-19 pandemic: Which is worse?
• What are the main causes of epidemics on the globe?
• Public health planning: What are the most important things to think about?
• Should governments pay the cost of rehabilitating drug addicts in society?
• Teaching children healthy lifestyles: What are the best strategies?
• What problems do people with autism face in society?
• What are the leading causes of child mortality in your community?
• Gun violence in the United States: Should it be considered a public health issue?
• What illnesses are considered foodborne?

Easy Topics In Public Health

• All workplaces should support breastfeeding.
• What are the best strategies to reduce pollution in society?
• Public health benefits of recycling waste in society.
• Reviewing the causes of poor water quality in the developing world.
• Comparing water quality standards policies in the UK and US.
• Health impacts of the rapid depletion of o-zone depletion.
• Better planning of infrastructural development is important for healthier societies: Discuss.
• The US is better prepared to handle pandemics that might arise after the COVID-19 pandemic. Discuss.
• A review of common diseases spread by vectors.
• A review of key policies installed to protect employee health.
• Legal age for consuming energy drinks should be set by the government to address the problem of diabetes.
• Smoking: Should it be banned in public?
• What are the best strategies for raising awareness in public?
• Can reducing the workload of employees in manufacturing facilities improve their health?
• Sunbathing should be restricted to prevent the risk of cancer: Discuss.
• Should abortion be banned in society?
• School-related stress: How can it be prevented?
• Should birth control be made available and free for all teenagers?
• What should be categorized as a bad health habit?
• Compare and contrast two common treatment methods for treating behavioral disorders.
• Internet addiction: What are the main dangers of internet addiction?

Other Public Health Topics For Research

• How to stay healthy and safe during a pandemic.
• Using a bicycle instead of driving is healthier.
• Common mental disorders in India.
• What is the biggest health issue among young people?
• The impact of exercising in teenagers.
• Why do teenagers experiment with drugs?
• What impact does dispositional violence have on mental disorders?
• Is telemedicine helpful in promoting better healthcare?
• Unproven alternative medicine: What are the associated risks?
• What alternatives do we have for antibiotics?
• What is the difference between private and public healthcare?
• A review of the main health issues associated with puberty.
• What is the most dangerous disease of the 21st century?
• Why are some people still afraid of vaccines?
• Experimental treatment: Why do people agree to undergo it?
• How can we improve the health of people living with chronic illnesses?
• The best strategies to make people aware of the basics of healthcare.
• A review of the growing awareness about reproductive health in the society.

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Master of Public Health

A thesis is a substantive and original body of work that allows the student to synthesize and integrate knowledge from their public health course work and practicum experiences, apply it to a particular topic area, and communicate their ideas and findings through a scholarly written product. The thesis represents the culmination of the student’s educational experience in the Vanderbilt MPH Program.

The thesis may take on different formats, depending on the student’s track focus and interests. Regardless of the format chosen, the student must apply critical thought, systematic analysis, and clear presentation.

Each student is responsible for identifying a topic and appropriate format for their thesis with the assistance and guidance of faculty advisers and faculty thesis readers.

The practicum product must be distinct from the thesis. Although the practicum and thesis can be related, the student must be able to articulate how the two projects are independent from one another. The practicum is a practice experience that allows students to apply and develop skills in public health concepts. The thesis is the synthesis and integration of knowledge acquired in coursework and through the practicum and results in an original scholarly work.

View selection of published theses

Additionally, students have the option to pursue publishing their thesis products in scholarly journals.

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Research Topics & Ideas: Healthcare

F inding and choosing a strong research topic is the critical first step when it comes to crafting a high-quality dissertation, thesis or research project. If you’ve landed on this post, chances are you’re looking for a healthcare-related research topic , but aren’t sure where to start. Here, we’ll explore a variety of healthcare-related research ideas and topic thought-starters across a range of healthcare fields, including allopathic and alternative medicine, dentistry, physical therapy, optometry, pharmacology and public health.

NB – This is just the start…

The topic ideation and evaluation process has multiple steps . In this post, we’ll kickstart the process by sharing some research topic ideas within the healthcare domain. This is the starting point, but to develop a well-defined research topic, you’ll need to identify a clear and convincing research gap , along with a well-justified plan of action to fill that gap.

If you’re new to the oftentimes perplexing world of research, or if this is your first time undertaking a formal academic research project, be sure to check out our free dissertation mini-course. In it, we cover the process of writing a dissertation or thesis from start to end. Be sure to also sign up for our free webinar that explores how to find a high-quality research topic.

Overview: Healthcare Research Topics

• Allopathic medicine
• Alternative /complementary medicine
• Veterinary medicine
• Physical therapy/ rehab
• Optometry and ophthalmology
• Pharmacy and pharmacology
• Public health
• Examples of healthcare-related dissertations

Allopathic (Conventional) Medicine

• The effectiveness of telemedicine in remote elderly patient care
• The impact of stress on the immune system of cancer patients
• The effects of a plant-based diet on chronic diseases such as diabetes
• The use of AI in early cancer diagnosis and treatment
• The role of the gut microbiome in mental health conditions such as depression and anxiety
• The efficacy of mindfulness meditation in reducing chronic pain: A systematic review
• The benefits and drawbacks of electronic health records in a developing country
• The effects of environmental pollution on breast milk quality
• The use of personalized medicine in treating genetic disorders
• The impact of social determinants of health on chronic diseases in Asia
• The role of high-intensity interval training in improving cardiovascular health
• The efficacy of using probiotics for gut health in pregnant women
• The impact of poor sleep on the treatment of chronic illnesses
• The role of inflammation in the development of chronic diseases such as lupus
• The effectiveness of physiotherapy in pain control post-surgery

Topics & Ideas: Alternative Medicine

• The benefits of herbal medicine in treating young asthma patients
• The use of acupuncture in treating infertility in women over 40 years of age
• The effectiveness of homoeopathy in treating mental health disorders: A systematic review
• The role of aromatherapy in reducing stress and anxiety post-surgery
• The impact of mindfulness meditation on reducing high blood pressure
• The use of chiropractic therapy in treating back pain of pregnant women
• The efficacy of traditional Chinese medicine such as Shun-Qi-Tong-Xie (SQTX) in treating digestive disorders in China
• The impact of yoga on physical and mental health in adolescents
• The benefits of hydrotherapy in treating musculoskeletal disorders such as tendinitis
• The role of Reiki in promoting healing and relaxation post birth
• The effectiveness of naturopathy in treating skin conditions such as eczema
• The use of deep tissue massage therapy in reducing chronic pain in amputees
• The impact of tai chi on the treatment of anxiety and depression
• The benefits of reflexology in treating stress, anxiety and chronic fatigue
• The role of acupuncture in the prophylactic management of headaches and migraines

Topics & Ideas: Dentistry

• The impact of sugar consumption on the oral health of infants
• The use of digital dentistry in improving patient care: A systematic review
• The efficacy of orthodontic treatments in correcting bite problems in adults
• The role of dental hygiene in preventing gum disease in patients with dental bridges
• The impact of smoking on oral health and tobacco cessation support from UK dentists
• The benefits of dental implants in restoring missing teeth in adolescents
• The use of lasers in dental procedures such as root canals
• The efficacy of root canal treatment using high-frequency electric pulses in saving infected teeth
• The role of fluoride in promoting remineralization and slowing down demineralization
• The impact of stress-induced reflux on oral health
• The benefits of dental crowns in restoring damaged teeth in elderly patients
• The use of sedation dentistry in managing dental anxiety in children
• The efficacy of teeth whitening treatments in improving dental aesthetics in patients with braces
• The role of orthodontic appliances in improving well-being
• The impact of periodontal disease on overall health and chronic illnesses

Topics & Ideas: Veterinary Medicine

• The impact of nutrition on broiler chicken production
• The role of vaccines in disease prevention in horses
• The importance of parasite control in animal health in piggeries
• The impact of animal behaviour on welfare in the dairy industry
• The effects of environmental pollution on the health of cattle
• The role of veterinary technology such as MRI in animal care
• The importance of pain management in post-surgery health outcomes
• The impact of genetics on animal health and disease in layer chickens
• The effectiveness of alternative therapies in veterinary medicine: A systematic review
• The role of veterinary medicine in public health: A case study of the COVID-19 pandemic
• The impact of climate change on animal health and infectious diseases in animals
• The importance of animal welfare in veterinary medicine and sustainable agriculture
• The effects of the human-animal bond on canine health
• The role of veterinary medicine in conservation efforts: A case study of Rhinoceros poaching in Africa
• The impact of veterinary research of new vaccines on animal health

Topics & Ideas: Physical Therapy/Rehab

• The efficacy of aquatic therapy in improving joint mobility and strength in polio patients
• The impact of telerehabilitation on patient outcomes in Germany
• The effect of kinesiotaping on reducing knee pain and improving function in individuals with chronic pain
• A comparison of manual therapy and yoga exercise therapy in the management of low back pain
• The use of wearable technology in physical rehabilitation and the impact on patient adherence to a rehabilitation plan
• The impact of mindfulness-based interventions in physical therapy in adolescents
• The effects of resistance training on individuals with Parkinson’s disease
• The role of hydrotherapy in the management of fibromyalgia
• The impact of cognitive-behavioural therapy in physical rehabilitation for individuals with chronic pain
• The use of virtual reality in physical rehabilitation of sports injuries
• The effects of electrical stimulation on muscle function and strength in athletes
• The role of physical therapy in the management of stroke recovery: A systematic review
• The impact of pilates on mental health in individuals with depression
• The use of thermal modalities in physical therapy and its effectiveness in reducing pain and inflammation
• The effect of strength training on balance and gait in elderly patients

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Topics & Ideas: Optometry & Opthalmology

• The impact of screen time on the vision and ocular health of children under the age of 5
• The effects of blue light exposure from digital devices on ocular health
• The role of dietary interventions, such as the intake of whole grains, in the management of age-related macular degeneration
• The use of telemedicine in optometry and ophthalmology in the UK
• The impact of myopia control interventions on African American children’s vision
• The use of contact lenses in the management of dry eye syndrome: different treatment options
• The effects of visual rehabilitation in individuals with traumatic brain injury
• The role of low vision rehabilitation in individuals with age-related vision loss: challenges and solutions
• The impact of environmental air pollution on ocular health
• The effectiveness of orthokeratology in myopia control compared to contact lenses
• The role of dietary supplements, such as omega-3 fatty acids, in ocular health
• The effects of ultraviolet radiation exposure from tanning beds on ocular health
• The impact of computer vision syndrome on long-term visual function
• The use of novel diagnostic tools in optometry and ophthalmology in developing countries
• The effects of virtual reality on visual perception and ocular health: an examination of dry eye syndrome and neurologic symptoms

Topics & Ideas: Pharmacy & Pharmacology

• The impact of medication adherence on patient outcomes in cystic fibrosis
• The use of personalized medicine in the management of chronic diseases such as Alzheimer’s disease
• The effects of pharmacogenomics on drug response and toxicity in cancer patients
• The role of pharmacists in the management of chronic pain in primary care
• The impact of drug-drug interactions on patient mental health outcomes
• The use of telepharmacy in healthcare: Present status and future potential
• The effects of herbal and dietary supplements on drug efficacy and toxicity
• The role of pharmacists in the management of type 1 diabetes
• The impact of medication errors on patient outcomes and satisfaction
• The use of technology in medication management in the USA
• The effects of smoking on drug metabolism and pharmacokinetics: A case study of clozapine
• Leveraging the role of pharmacists in preventing and managing opioid use disorder
• The impact of the opioid epidemic on public health in a developing country
• The use of biosimilars in the management of the skin condition psoriasis
• The effects of the Affordable Care Act on medication utilization and patient outcomes in African Americans

Topics & Ideas: Public Health

• The impact of the built environment and urbanisation on physical activity and obesity
• The effects of food insecurity on health outcomes in Zimbabwe
• The role of community-based participatory research in addressing health disparities
• The impact of social determinants of health, such as racism, on population health
• The effects of heat waves on public health
• The role of telehealth in addressing healthcare access and equity in South America
• The impact of gun violence on public health in South Africa
• The effects of chlorofluorocarbons air pollution on respiratory health
• The role of public health interventions in reducing health disparities in the USA
• The impact of the United States Affordable Care Act on access to healthcare and health outcomes
• The effects of water insecurity on health outcomes in the Middle East
• The role of community health workers in addressing healthcare access and equity in low-income countries
• The impact of mass incarceration on public health and behavioural health of a community
• The effects of floods on public health and healthcare systems
• The role of social media in public health communication and behaviour change in adolescents

Examples: Healthcare Dissertation & Theses

While the ideas we’ve presented above are a decent starting point for finding a healthcare-related research topic, they are fairly generic and non-specific. So, it helps to look at actual dissertations and theses to see how this all comes together.

Below, we’ve included a selection of research projects from various healthcare-related degree programs to help refine your thinking. These are actual dissertations and theses, written as part of Master’s and PhD-level programs, so they can provide some useful insight as to what a research topic looks like in practice.

• Improving Follow-Up Care for Homeless Populations in North County San Diego (Sanchez, 2021)
• On the Incentives of Medicare’s Hospital Reimbursement and an Examination of Exchangeability (Elzinga, 2016)
• Managing the healthcare crisis: the career narratives of nurses (Krueger, 2021)
• Methods for preventing central line-associated bloodstream infection in pediatric haematology-oncology patients: A systematic literature review (Balkan, 2020)
• Farms in Healthcare: Enhancing Knowledge, Sharing, and Collaboration (Garramone, 2019)
• When machine learning meets healthcare: towards knowledge incorporation in multimodal healthcare analytics (Yuan, 2020)
• Integrated behavioural healthcare: The future of rural mental health (Fox, 2019)
• Healthcare service use patterns among autistic adults: A systematic review with narrative synthesis (Gilmore, 2021)
• Mindfulness-Based Interventions: Combatting Burnout and Compassionate Fatigue among Mental Health Caregivers (Lundquist, 2022)
• Transgender and gender-diverse people’s perceptions of gender-inclusive healthcare access and associated hope for the future (Wille, 2021)
• Efficient Neural Network Synthesis and Its Application in Smart Healthcare (Hassantabar, 2022)
• The Experience of Female Veterans and Health-Seeking Behaviors (Switzer, 2022)
• Machine learning applications towards risk prediction and cost forecasting in healthcare (Singh, 2022)
• Does Variation in the Nursing Home Inspection Process Explain Disparity in Regulatory Outcomes? (Fox, 2020)

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19 Comments

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UKnowledge > College of Public Health > Public Health M.P.H. Theses & Dr.P.H. Dissertations

Theses and Dissertations--Public Health (M.P.H. & Dr.P.H.)

Theses/dissertations from 2024 2024.

Cardiovascular Disease among commercially insured adults with type 1 diabetes in the US , 2016-2019 , Orighomisan F. Agboghoroma

Improving Black Maternal Outcomes in Christian County, KY: A Social Marketing Approach to Perinatal Provider Change , Ariel A. Arthur

Current Linkage to Treatment and Recovery Support Services for Patients with a Substance Use Disorder: A Survey of Kentucky Physicians , Seif Atyia, Terry Bunn, Dana Quesinberry, and Timothy S. Prince

Empirical Insights into Survivorship Care: A Cross-Sectional Study of CoC Accredited Hospitals in Kentucky , Amanda M. Beckett

Changes in Primary Care Availability in Appalachia , Whitney Beckett

Redefining ED Utilization: A Rabies Post-Exposure Prophylaxis Perspective , David Bennington

The Relationship Between Social Vulnerability and Cardiovascular Disease Outcomes in Kentucky , Karcyn Brummett

The Effects of Stigma within the PrEP Care Cascade Among People Who Inject Drugs in Rural Kentucky , Abby Burton

Implementation of a Postpartum Depression Program in a Rural Kentucky County , Abby Cecil

Dental Outreach in Academic Dental Settings , Tisha Clayborn

A Case Study in Prospective Program Evaluation , Sarai Rosemary Combs

A Case Study in Program Evaluation: A Prospective Program Evaluation of Timely Reporting and Action of an Infectious Disease Outbreak , Destiny Cozart

INVESTIGATING THE CORRELATION BETWEEN SOCIAL DETERMINANTS OF HEALTH AND DRUG SELLING AMONG PEOPLE WHO USE DRUGS IN RURAL APPALACHIA, KENTUCKY , Grace A. Debo

Fall 2023 COVID-19, Influenza, and Respiratory Syncytial Virus Vaccine Uptake in Kentucky , Abigail Dial

Human papilloma virus type 16 seroprevalence among men living with HIV , Ashley Duff

Adolescent Vaccination Rates and Pharmacists' Ability to Prescribe and Administer , Paul Jake Faulkner

McCovid Campaign – A Social Media Implementation to Decrease Vaccine Hesitancy in Rural Counties , Harper Ford

Interprofessional Collaboration in a Lung Cancer Screening Learning Collaborative , Angela Fu

Novel cannabinoid use among young adults in Lexington, Kentucky , Victoria A. Hamilton

Evaluating a High School MRSA Prevention Program: A Case Study , Jamie Henning

The Distribution of CP-CRE cases from 2013-2020 in the Commonwealth of Kentucky , Hannah Hiscox

DEMOGRAPHIC AND BEHAVIORAL CHARACTERISTICS OF PEOPLE WHO HELP OTHERS INJECT DRUGS: A STUDY OF PEOPLE WHO INJECT DRUGS IN APPALACHIA KENTUCKY , Ryli Hockensmith

Patient Access to GLP-1 RA’s: A Medicare Part D Policy Analysis , Celine Hummer

EVALUATION OF PUBLIC RADON MESSAGING IN KENTUCKY AS COMPARED TO THREE OTHER STATES , Abigail Knapp

Characterizing the Relationship Between the Presence of Depression Risk, Post-Traumatic Stress Disorder, and Benzodiazepine Use to Get High , Julia Kollitz

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Home > College of Public Health > Health Services Research & Administration > Theses & Dissertations

Theses & Dissertations: Health Services Research, Administration, and Policy

Theses/dissertations from 2024 2024.

Telehealth for Healthy Aging: A Multi-Level, Multi-Methods Approach , Vaibhavi Mone

Theses/Dissertations from 2023 2023

Factors Associated with the Difficulty of Computerized Tasks Among Office-Based Physicians in the United States , Khalid Alshehri

Reducing Oral Health Disparities: Effectiveness of Preventive Dental Care on Treatment Use, Expenditures and Determinants of Service Utilization , Rashmi Lamsal

'The Very Structure of Opportunities Has Collapsed': How Taxation Policies Enhance, Decay, and Otherwise Affect the Distribution of Health & Health Services in the United States , Valerie Pacino

An Exploration of Policies, Equity, and Emerging Threats to the Traffic Safety Environment in the U.S. , Sachi Verma

Theses/Dissertations from 2022 2022

The State of Oral Health in People with Disabilities and the Impact of Family-Centered Care on the Oral Health of Children with Special Health Care Needs , Bedant Chakraborty

Theses/Dissertations from 2021 2021

The Ecology of Mental Health and the Impact of Barriers on Mental Health Service Utilization , Alisha Aggarwal

Health Service Utilization and Expenditure in Cardio-Metabolic Conditions in the United States Adults , Kavita Mosalpuria

Impact of Prescription Drug Monitoring Program on Drug Misuse and Drug-related Fatal Vehicle Crashes , Moosa Tatar

Theses/Dissertations from 2020 2020

Essays on rehospitalization under the Hospital Readmission Reduction Program , Yangyuna Yang

Theses/Dissertations from 2019 2019

Impact of Healthcare Delivery and Policies on Children's Outcomes after the Affordable Care Act of 2010 , Shreya Roy

Examining the Effects of Approaches on Reducing Hospital Utilization: The Patient-Centered Medical Home, Continuity of Care, and the Inpatient Palliative Consultation at the End-of-Life , Xiaoting Sun

Theses/Dissertations from 2018 2018

Essays on the Patient-Centered Medical Home in the United States Military Health System , Glen N. Gilson

A Multi-Level Assessment of Healthcare Facilities Readiness, Willingness, and Ability to Adopt and Sustain Telehealth Services , Jamie Larson

Healthcare Utilization for Behavioral Health Disorders: Policy Implications on Nationwide Readmissions, and Outcomes in the States of Nebraska and New York , Rajvi J. Wani

Theses/Dissertations from 2017 2017

Structural violence and gender-based violence in the United States , Sarbinaz Z. Bekmuratova

Community Benefits Spending by Private Tax-Exempt Hospitals in the U.S. , Wael ElRayes

Patient-Centered Medical Home Adoption in School-Based Health Centers , Abbey Gregg

Meaningful Use of Electronic Health Records for Population Health Management in U.S. Acute Care Hospitals , Niodita Gupta

Hospital Based Emergency Department Visits With Dental Conditions: Outcomes and Policy Implications in the States of California, Nebraska and New York , Sankeerth Rampa

Theses/Dissertations from 2016 2016

Adoption of Medication Management Technologies by U.S. Acute Care Hospitals after the HITECH Act , Aastha Chandak

The Impact of Electronic Health Records on Healthcare Service Delivery, Patient Safety, and Quality , Kate Elizabeth Trout

Essays on Immigration-Related Disparities in Health Behavior and Health Care Utilization , Yang Wang

Theses/Dissertations from 2015 2015

The Impact of Gasoline Prices on Medical Care and Costs of Motor Vehicle Injuries , He Zhu

Theses/Dissertations from 2014 2014

Provision, cost, and quality of robot-assisted radical prostatectomies in the United States , Soumitra Sudip Bhuyan

Organizational factors associated with the implementation of evidence-based public health interventions in local health department settings , Janelle J. Jacobson

Hospital cost shifting in the United States , Tao Li

Patient-centered medical home readiness in the veterans health administration: an organizational perspective , Anh T. Nguyen

Organizational and environmental correlates of electronic health records implementation and performance in acute care hospitals in the United States , Diptee Ojha

Assessing geographic variation and migration behaviors of foreign-born medical graduates in the United States , Samuel Tawiah Yaw Opoku

Theses/Dissertations from 2013 2013

Organizational and environmental correlates of strategic behavior and financial performance in the US hospice industry , Bettye Appiah Apenteng

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EliScholar > School of Public Health > Public Health Theses Digital Library

Public Health Theses

Theses/dissertations from 2024 2024.

Effect Of The Lifestyle, Exercise, And Nutrition (lean) Weight Loss Intervention On Anxiety Among Breast Cancer Survivors , Faiad Alam

Stakeholder Perspectives On Therapeutic Value Assessment , Victor M. Amana

Ecological Factors Influencing The Evolution Of Jamestown Canyon Virus In The Northern United States , Ellie Bourgikos

The Roads Less Traveled: A Metaresearch Analysis Of Local Histories In Racial Health Equity Research , Devin Trévion Brown

Enriching An Acute Kidney Injury Prediction Model Among Percutaneous Coronary Intervention Patients: Leveraging Electronic Health Record Data , Enci Cai

Remotely Sensed Assessments Of Malnutrition In South Sudan , Rebecca Chausse

Gestational Weight Gain And Epilepsy In The Offspring: A Population-Based Retrospective Cohort Study , Jiawen Chen

A History Of Cioms (council For International Organizations Of Medical Sciences) And The Creation Of Multinational Consensus For Human Subjects Research Ethics , Abigail Belle Cheung

Energy Assistance And Health: Policy Recommendations , Gabriella Crivelli

Constructing The Birthing Body Across The 20th Century: A Thematic Analysis Of Infertility Disorders In The New England Journal Of Medicine , Nicola Davis

Unveiling Chagas Disease: An In-Depth Analysis Of Epidemiological Patterns In High Burden Latin American Nations , Nicole Del Castillo

Examining Factors Associated With Covid-19 Disruptions To Tuberculosis Services , Tejaswini Dharmapuri Vachaspathi

“How Long On Top Of The Hill?”: The Legacy Of Community Mental Health Programs, Institutionalized Relationships, And The Stifling Of Black Power (new Haven, 1963-1971) , Sophie Elizabeth Edelstein

Ivermectin Mda For Malaria Control And Plasmodium Species Diversity In Burkina Faso , Julia Ellman

Wearable Passive Air Sampling And Crohn's Disease In Pregnancy , Hazel Ann Fajardo

BMI's Early Echo: Deciphering Adolescent Body Mass Indicator On Adulthood Breast Cancer , Tianyu Feng

Comparing Immunogenicity And Relative Effectiveness Of Siil-Pv (pneumosil) To Incumbent Streptococcus Pneumoniae Vaccines And Higher-Valent Vaccines In Development , Laura Anne Fitch

Investigating The Impact Of Temperature Variations On African Trypanosome Transmissibility Within The Vector Tsetse Flies , Sophie Ann Genigeorgis

Prep-Aring For Prevention: Mental Health, Internalizations, And Contextual Factors As Barriers To Prep Uptake Among Sexual Minority Men And Nonbinary Individuals , Amanda Glatter

Maternity Care Deserts: Maternal And Child Health Associations , Dara Elizabeth Gleeson

Measuring The Differential Effect Of Internalized Homonegativity On Hiv Prevention Outcomes By Sexual Orientation Disclosure Status Among Ymsm Across Two Us Cities , Liv Gotte

Exploring The Association Between Density Of Unconventional Oil And Gas Development And Religious Adherence: An Ecological Cross-Sectional Study , Ashley Michelle Grey

Comparing HPV Vaccination Uptake In Democrat And Republican Us States Using Presidential Elections Voting Patterns In 2016 And 2020 , Omar Guerrero

Exploring The Associations Between Stereotypes Of Aging And Dementia And Self-Reported Health In Parent-Adult Child Dyads , Yunke Gu

Effects Of Wildfire Smoke And Nonsmoke Pm2.5 On Respiratory, Circulatory, And Mental Health In Nevada: A Case-Crossover Study On Emergency Department Visits From 2016-2019 , Riena Harker

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Artificial intelligence in healthcare: transforming the practice of medicine

Junaid bajwa.

A Microsoft Research, Cambridge, UK

Usman Munir

B Microsoft Research, Cambridge, UK

Aditya Nori

C Microsoft Research, Cambridge, UK

Bryan Williams

D University College London, London, UK and director, NIHR UCLH Biomedical Research Centre, London, UK

Artificial intelligence (AI) is a powerful and disruptive area of computer science, with the potential to fundamentally transform the practice of medicine and the delivery of healthcare. In this review article, we outline recent breakthroughs in the application of AI in healthcare, describe a roadmap to building effective, reliable and safe AI systems, and discuss the possible future direction of AI augmented healthcare systems.

Introduction

Healthcare systems around the world face significant challenges in achieving the ‘quadruple aim’ for healthcare: improve population health, improve the patient's experience of care, enhance caregiver experience and reduce the rising cost of care. 1–3 Ageing populations, growing burden of chronic diseases and rising costs of healthcare globally are challenging governments, payers, regulators and providers to innovate and transform models of healthcare delivery. Moreover, against a backdrop now catalysed by the global pandemic, healthcare systems find themselves challenged to ‘perform’ (deliver effective, high-quality care) and ‘transform’ care at scale by leveraging real-world data driven insights directly into patient care. The pandemic has also highlighted the shortages in healthcare workforce and inequities in the access to care, previously articulated by The King's Fund and the World Health Organization (Box ​ (Box1 1 ). 4,5

Workforce challenges in the next decade

The application of technology and artificial intelligence (AI) in healthcare has the potential to address some of these supply-and-demand challenges. The increasing availability of multi-modal data (genomics, economic, demographic, clinical and phenotypic) coupled with technology innovations in mobile, internet of things (IoT), computing power and data security herald a moment of convergence between healthcare and technology to fundamentally transform models of healthcare delivery through AI-augmented healthcare systems.

In particular, cloud computing is enabling the transition of effective and safe AI systems into mainstream healthcare delivery. Cloud computing is providing the computing capacity for the analysis of considerably large amounts of data, at higher speeds and lower costs compared with historic ‘on premises’ infrastructure of healthcare organisations. Indeed, we observe that many technology providers are increasingly seeking to partner with healthcare organisations to drive AI-driven medical innovation enabled by cloud computing and technology-related transformation (Box ​ (Box2 2 ). 6–8

Quotes from technology leaders

Here, we summarise recent breakthroughs in the application of AI in healthcare, describe a roadmap to building effective AI systems and discuss the possible future direction of AI augmented healthcare systems.

What is artificial intelligence?

Simply put, AI refers to the science and engineering of making intelligent machines, through algorithms or a set of rules, which the machine follows to mimic human cognitive functions, such as learning and problem solving. 9 AI systems have the potential to anticipate problems or deal with issues as they come up and, as such, operate in an intentional, intelligent and adaptive manner. 10 AI's strength is in its ability to learn and recognise patterns and relationships from large multidimensional and multimodal datasets; for example, AI systems could translate a patient's entire medical record into a single number that represents a likely diagnosis. 11,12 Moreover, AI systems are dynamic and autonomous, learning and adapting as more data become available. 13

AI is not one ubiquitous, universal technology, rather, it represents several subfields (such as machine learning and deep learning) that, individually or in combination, add intelligence to applications. Machine learning (ML) refers to the study of algorithms that allow computer programs to automatically improve through experience. 14 ML itself may be categorised as ‘supervised’, ‘unsupervised’ and ‘reinforcement learning’ (RL), and there is ongoing research in various sub-fields including ‘semi-supervised’, ‘self-supervised’ and ‘multi-instance’ ML.

• Supervised learning leverages labelled data (annotated information); for example, using labelled X-ray images of known tumours to detect tumours in new images. 15
• ‘Unsupervised learning’ attempts to extract information from data without labels; for example, categorising groups of patients with similar symptoms to identify a common cause. 16
• In RL, computational agents learn by trial and error, or by expert demonstration. The algorithm learns by developing a strategy to maximise rewards. Of note, major breakthroughs in AI in recent years have been based on RL.
• Deep learning (DL) is a class of algorithms that learns by using a large, many-layered collection of connected processes and exposing these processors to a vast set of examples. DL has emerged as the predominant method in AI today driving improvements in areas such as image and speech recognition. 17,18

How to build effective and trusted AI-augmented healthcare systems?

Despite more than a decade of significant focus, the use and adoption of AI in clinical practice remains limited, with many AI products for healthcare still at the design and develop stage. 19–22 While there are different ways to build AI systems for healthcare, far too often there are attempts to force square pegs into round holes ie find healthcare problems to apply AI solutions to without due consideration to local context (such as clinical workflows, user needs, trust, safety and ethical implications).

We hold the view that AI amplifies and augments, rather than replaces, human intelligence. Hence, when building AI systems in healthcare, it is key to not replace the important elements of the human interaction in medicine but to focus it, and improve the efficiency and effectiveness of that interaction. Moreover, AI innovations in healthcare will come through an in-depth, human-centred understanding of the complexity of patient journeys and care pathways.

In Fig ​ Fig1, 1 , we describe a problem-driven, human-centred approach, adapted from frameworks by Wiens et al , Care and Sendak to building effective and reliable AI-augmented healthcare systems. 23–25

Multi-step, iterative approach to build effective and reliable AI-augmented systems in healthcare.

Design and develop

The first stage is to design and develop AI solutions for the right problems using a human-centred AI and experimentation approach and engaging appropriate stakeholders, especially the healthcare users themselves.

Stakeholder engagement and co-creation

Build a multidisciplinary team including computer and social scientists, operational and research leadership, and clinical stakeholders (physician, caregivers and patients) and subject experts (eg for biomedical scientists) that would include authorisers, motivators, financiers, conveners, connectors, implementers and champions. 26 A multi-stakeholder team brings the technical, strategic, operational expertise to define problems, goals, success metrics and intermediate milestones.

Human-centred AI

A human-centred AI approach combines an ethnographic understanding of health systems, with AI. Through user-designed research, first understand the key problems (we suggest using a qualitative study design to understand ‘what is the problem’, ‘why is it a problem’, ‘to whom does it matter’, ‘why has it not been addressed before’ and ‘why is it not getting attention’) including the needs, constraints and workflows in healthcare organisations, and the facilitators and barriers to the integration of AI within the clinical context. After defining key problems, the next step is to identify which problems are appropriate for AI to solve, whether there is availability of applicable datasets to build and later evaluate AI. By contextualising algorithms in an existing workflow, AI systems would operate within existing norms and practices to ensure adoption, providing appropriate solutions to existing problems for the end user.

Experimentation

The focus should be on piloting of new stepwise experiments to build AI tools, using tight feedback loops from stakeholders to facilitate rapid experiential learning and incremental changes. 27 The experiments would allow the trying out of new ideas simultaneously, exploring to see which one works, learn what works and what doesn't, and why. 28 Experimentation and feedback will help to elucidate the purpose and intended uses for the AI system: the likely end users and the potential harm and ethical implications of AI system to them (for instance, data privacy, security, equity and safety).

Evaluate and validate

Next, we must iteratively evaluate and validate the predictions made by the AI tool to test how well it is functioning. This is critical, and evaluation is based on three dimensions: statistical validity, clinical utility and economic utility.

• Statistical validity is understanding the performance of AI on metrics of accuracy, reliability, robustness, stability and calibration. High model performance on retrospective, in silico settings is not sufficient to demonstrate clinical utility or impact.
• To determine clinical utility, evaluate the algorithm in a real-time environment on a hold-out and temporal validation set (eg longitudinal and external geographic datasets) to demonstrate clinical effectiveness and generalisability. 25
• Economic utility quantifies the net benefit relative to the cost from the investment in the AI system.

Scale and diffuse

Many AI systems are initially designed to solve a problem at one healthcare system based on the patient population specific to that location and context. Scale up of AI systems requires special attention to deployment modalities, model updates, the regulatory system, variation between systems and reimbursement environment.

Monitor and maintain

Even after an AI system has been deployed clinically, it must be continually monitored and maintained to monitor for risks and adverse events using effective post-market surveillance. Healthcare organisations, regulatory bodies and AI developers should cooperate to collate and analyse the relevant datasets for AI performance, clinical and safety-related risks, and adverse events. 29

What are the current and future use cases of AI in healthcare?

AI can enable healthcare systems to achieve their ‘quadruple aim’ by democratising and standardising a future of connected and AI augmented care, precision diagnostics, precision therapeutics and, ultimately, precision medicine (Table ​ (Table1 1 ). 30 Research in the application of AI healthcare continues to accelerate rapidly, with potential use cases being demonstrated across the healthcare sector (both physical and mental health) including drug discovery, virtual clinical consultation, disease diagnosis, prognosis, medication management and health monitoring.

Widescale adoption and application of artificial intelligence in healthcare

Timings are illustrative to widescale adoption of the proposed innovation taking into account challenges / regulatory environment / use at scale.

We describe a non-exhaustive suite of AI applications in healthcare in the near term, medium term and longer term, for the potential capabilities of AI to augment, automate and transform medicine.

AI today (and in the near future)

Currently, AI systems are not reasoning engines ie cannot reason the same way as human physicians, who can draw upon ‘common sense’ or ‘clinical intuition and experience’. 12 Instead, AI resembles a signal translator, translating patterns from datasets. AI systems today are beginning to be adopted by healthcare organisations to automate time consuming, high volume repetitive tasks. Moreover, there is considerable progress in demonstrating the use of AI in precision diagnostics (eg diabetic retinopathy and radiotherapy planning).

AI in the medium term (the next 5–10 years)

In the medium term, we propose that there will be significant progress in the development of powerful algorithms that are efficient (eg require less data to train), able to use unlabelled data, and can combine disparate structured and unstructured data including imaging, electronic health data, multi-omic, behavioural and pharmacological data. In addition, healthcare organisations and medical practices will evolve from being adopters of AI platforms, to becoming co-innovators with technology partners in the development of novel AI systems for precision therapeutics.

AI in the long term (>10 years)

In the long term, AI systems will become more intelligent , enabling AI healthcare systems achieve a state of precision medicine through AI-augmented healthcare and connected care. Healthcare will shift from the traditional one-size-fits-all form of medicine to a preventative, personalised, data-driven disease management model that achieves improved patient outcomes (improved patient and clinical experiences of care) in a more cost-effective delivery system.

Connected/augmented care

AI could significantly reduce inefficiency in healthcare, improve patient flow and experience, and enhance caregiver experience and patient safety through the care pathway; for example, AI could be applied to the remote monitoring of patients (eg intelligent telehealth through wearables/sensors) to identify and provide timely care of patients at risk of deterioration.

In the long term, we expect that healthcare clinics, hospitals, social care services, patients and caregivers to be all connected to a single, interoperable digital infrastructure using passive sensors in combination with ambient intelligence. 31 Following are two AI applications in connected care.

Virtual assistants and AI chatbots

AI chatbots (such as those used in Babylon ( www.babylonhealth.com ) and Ada ( https://ada.com )) are being used by patients to identify symptoms and recommend further actions in community and primary care settings. AI chatbots can be integrated with wearable devices such as smartwatches to provide insights to both patients and caregivers in improving their behaviour, sleep and general wellness.

Ambient and intelligent care

We also note the emergence of ambient sensing without the need for any peripherals.

• Emerald ( www.emeraldinno.com ): a wireless, touchless sensor and machine learning platform for remote monitoring of sleep, breathing and behaviour, founded by Massachusetts Institute of Technology faculty and researchers.
• Google nest: claiming to monitor sleep (including sleep disturbances like cough) using motion and sound sensors. 32
• A recently published article exploring the ability to use smart speakers to contactlessly monitor heart rhythms. 33
• Automation and ambient clinical intelligence: AI systems leveraging natural language processing (NLP) technology have the potential to automate administrative tasks such as documenting patient visits in electronic health records, optimising clinical workflow and enabling clinicians to focus more time on caring for patients (eg Nuance Dragon Ambient eXperience ( www.nuance.com/healthcare/ambient-clinical-intelligence.html )).

Precision diagnostics

Diagnostic imaging.

The automated classification of medical images is the leading AI application today. A recent review of AI/ML-based medical devices approved in the USA and Europe from 2015–2020 found that more than half (129 (58%) devices in the USA and 126 (53%) devices in Europe) were approved or CE marked for radiological use. 34 Studies have demonstrated AI's ability to meet or exceed the performance of human experts in image-based diagnoses from several medical specialties including pneumonia in radiology (a convolutional neural network trained with labelled frontal chest X-ray images outperformed radiologists in detecting pneumonia), dermatology (a convolutional neural network was trained with clinical images and was found to classify skin lesions accurately), pathology (one study trained AI algorithms with whole-slide pathology images to detect lymph node metastases of breast cancer and compared the results with those of pathologists) and cardiology (a deep learning algorithm diagnosed heart attack with a performance comparable with that of cardiologists). 35–38

We recognise that there are some exemplars in this area in the NHS (eg University of Leeds Virtual Pathology Project and the National Pathology Imaging Co-operative) and expect widescale adoption and scaleup of AI-based diagnostic imaging in the medium term. 39 We provide two use cases of such technologies.

Diabetic retinopathy screening

Key to reducing preventable, diabetes-related vision loss worldwide is screening individuals for detection and the prompt treatment of diabetic retinopathy. However, screening is costly given the substantial number of diabetes patients and limited manpower for eye care worldwide. 40 Research studies on automated AI algorithms for diabetic retinopathy in the USA, Singapore, Thailand and India have demonstrated robust diagnostic performance and cost effectiveness. 41–44 Moreover, Centers for Medicare & Medicaid Services approved Medicare reimbursement for the use of Food and Drug Administration approved AI algorithm ‘IDx-DR’, which demonstrated 87% sensitivity and 90% specificity for detecting more-than-mild diabetic retinopathy. 45

Improving the precision and reducing waiting timings for radiotherapy planning

An important AI application is to assist clinicians for image preparation and planning tasks for radiotherapy cancer treatment. Currently, segmentation of the images is time consuming and laborious task, performed manually by an oncologist using specially designed software to draw contours around the regions of interest. The AI-based InnerEye open-source technology can cut this preparation time for head and neck, and prostate cancer by up to 90%, meaning that waiting times for starting potentially life-saving radiotherapy treatment can be dramatically reduced (Fig ​ (Fig2 2 ). 46,47

Potential applications for the InnerEye deep learning toolkit include quantitative radiology for monitoring tumour progression, planning for surgery and radiotherapy planning. 47

Precision therapeutics

To make progress towards precision therapeutics, we need to considerably improve our understanding of disease. Researchers globally are exploring the cellular and molecular basis of disease, collecting a range of multimodal datasets that can lead to digital and biological biomarkers for diagnosis, severity and progression. Two important future AI applications include immunomics / synthetic biology and drug discovery.

Immunomics and synthetic biology

Through the application of AI tools on multimodal datasets in the future, we may be able to better understand the cellular basis of disease and the clustering of diseases and patient populations to provide more targeted preventive strategies, for example, using immunomics to diagnose and better predict care and treatment options. This will be revolutionary for multiple standards of care, with particular impact in the cancer, neurological and rare disease space, personalising the experience of care for the individual.

AI-driven drug discovery

AI will drive significant improvement in clinical trial design and optimisation of drug manufacturing processes, and, in general, any combinatorial optimisation process in healthcare could be replaced by AI. We have already seen the beginnings of this with the recent announcements by DeepMind and AlphaFold, which now sets the stage for better understanding disease processes, predicting protein structures and developing more targeted therapeutics (for both rare and more common diseases; Fig ​ Fig3 3 ). 48,49

An overview of the main neural network model architecture for AlphaFold. 49 MSA = multiple sequence alignment.

Precision medicine

New curative therapies.

Over the past decade, synthetic biology has produced developments like CRISPR gene editing and some personalised cancer therapies. However, the life cycle for developing such advanced therapies is still extremely inefficient and expensive.

In future, with better access to data (genomic, proteomic, glycomic, metabolomic and bioinformatic), AI will allow us to handle far more systematic complexity and, in turn, help us transform the way we understand, discover and affect biology. This will improve the efficiency of the drug discovery process by helping better predict early which agents are more likely to be effective and also better anticipate adverse drug effects, which have often thwarted the further development of otherwise effective drugs at a costly late stage in the development process. This, in turn will democratise access to novel advanced therapies at a lower cost.

AI empowered healthcare professionals

In the longer term, healthcare professionals will leverage AI in augmenting the care they provide, allowing them to provide safer, standardised and more effective care at the top of their licence; for example, clinicians could use an ‘AI digital consult’ to examine ‘digital twin’ models of their patients (a truly ‘digital and biomedical’ version of a patient), allowing them to ‘test’ the effectiveness, safety and experience of an intervention (such as a cancer drug) in the digital environment prior to delivering the intervention to the patient in the real world.

We recognise that there are significant challenges related to the wider adoption and deployment of AI into healthcare systems. These challenges include, but are not limited to, data quality and access, technical infrastructure, organisational capacity, and ethical and responsible practices in addition to aspects related to safety and regulation. Some of these issues have been covered, but others go beyond the scope of this current article.

Conclusion and key recommendations

Advances in AI have the potential to transform many aspects of healthcare, enabling a future that is more personalised, precise, predictive and portable. It is unclear if we will see an incremental adoption of new technologies or radical adoption of these technological innovations, but the impact of such technologies and the digital renaissance they bring requires health systems to consider how best they will adapt to the changing landscape. For the NHS, the application of such technologies truly has the potential to release time for care back to healthcare professionals, enabling them to focus on what matters to their patients and, in the future, leveraging a globally democratised set of data assets comprising the ‘highest levels of human knowledge’ to ‘work at the limits of science’ to deliver a common high standard of care, wherever and whenever it is delivered, and by whoever. 50 Globally, AI could become a key tool for improving health equity around the world.

As much as the last 10 years have been about the roll out of digitisation of health records for the purposes of efficiency (and in some healthcare systems, billing/reimbursement), the next 10 years will be about the insight and value society can gain from these digital assets, and how these can be translated into driving better clinical outcomes with the assistance of AI, and the subsequent creation of novel data assets and tools. It is clear that we are at an turning point as it relates to the convergence of the practice of medicine and the application of technology, and although there are multiple opportunities, there are formidable challenges that need to be overcome as it relates to the real world and the scale of implementation of such innovation. A key to delivering this vision will be an expansion of translational research in the field of healthcare applications of artificial intelligence. Alongside this, we need investment into the upskilling of a healthcare workforce and future leaders that are digitally enabled, and to understand and embrace, rather than being intimidated by, the potential of an AI-augmented healthcare system.

Healthcare leaders should consider (as a minimum) these issues when planning to leverage AI for health:

• processes for ethical and responsible access to data: healthcare data is highly sensitive, inconsistent, siloed and not optimised for the purposes of machine learning development, evaluation, implementation and adoption
• access to domain expertise / prior knowledge to make sense and create some of the rules which need to be applied to the datasets (to generate the necessary insight)
• access to sufficient computing power to generate decisions in real time, which is being transformed exponentially with the advent of cloud computing
• research into implementation: critically, we must consider, explore and research issues which arise when you take the algorithm and put it in the real world, building ‘trusted’ AI algorithms embedded into appropriate workflows.

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• An Assessment of Maternal Health Service Needs of Immigrant Women Living in East Calgary, Canada
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• Gender and Access to DOTS Program (Directly Observed Treatment, Short-Course) in a Poor, Rural and Minority Area of Gansu Province, China
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• Trust in Maternity Care:  A Contextual Exploration of Meaning and Determinants in Peri-Urban Kenya
• The Effect of Contracting for Health Services on the Equity of Utilization and Out-of-Pocket Health Expenditure in Rural Afghanistan

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Category Archives: Theses and Dissertations

Care, Class and Singularistic Morality in Late Modernity

In his master’s thesis, Sylwin Gilles Cornielje has taken up care-ethicist Frans Vosman’s reflections on self-realisation as a class-bound normative ideal. Continue reading Care, Class and Singularistic Morality in Late Modernity →

Aiming at contact. Relational caring and the everyday interaction as effective principles in clinical forensic care

Petra Schaftenaar, member of the research network Critical Ethics of Care, presents a summary of the results of her PhD-thesis Aiming at contact. Relational caring and the everyday interaction as effective principles in clinical forensic care (2018) in the following article. Continue reading Aiming at contact. Relational caring and the everyday interaction as effective principles in clinical forensic care →

Practical wisdom: vital core of professionalism in medical practices

The subject of the PhD thesis of Marij Bontemps is practical wisdom, “.. the virtuous capacity to .. discover what is morally relevant, knowing how to decide, knowing how to act, as well as knowing how to learn from what was not done well. Continue reading Practical wisdom: vital core of professionalism in medical practices →

Attentiveness is complex and political

An interview with Klaartje Klaver about her PhD thesis Dynamics of Attentiveness (2016) Continue reading Attentiveness is complex and political →

The fragile voices from the work floor. Care-ethical power issues reconsidered

Social worker Silke Jacobi MA considers in the summary of her care-ethical thesis (2019) the possibilities of more impact and (political) participation of the institutional care-worker in an ambiguous neo-liberal context. Continue reading The fragile voices from the work floor. Care-ethical power issues reconsidered →

Affect matters

Affect Matters is a book about relationship. It is about the centrality of affect in our relationships to others, and in particular, it examines the precariousness and ambiguity of our affect-filled lives. Continue reading Affect matters →

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Health Policy and Management Theses and Dissertations

Theses/dissertations from 2017 2017.

Healthcare Costs of Injured Youth: The Need for Prevention, Policy, and Proper Triage , Jessica Lynn Ryan

Physical Therapy Utilization and Length of Stay among Patients with Low Back Pain in Florida Hospitals , Kyle A. Watterson

Theses/Dissertations from 2013 2013

Predictors of the Incidence and Charges for Lumbar Spinal Fusion Surgery in Florida Hospitals During 2010 , Anna Ialynychev

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Analysis of Two Strategies for Structuring Medicare Reimbursement to Maximize Profitability in Acute Care General Hospitals , James D. Barrington

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Predicting the Medical Management Requirements of Large Scale Mass Casualty Events Using Computer Simulation , Scott A. Zuerlein

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The Association between the Measles, Mumps, and Rubella Vaccine and the Development of Autism: A Meta-Analysis , Rashad Carlton

The Influence of Specialized Cancer Hospitals in Florida on Mortality, Length of Stay, and Charges of Care , Patricia L. Spencer

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Racial Disparities in Breast Cancer Surgical Treatment and Radiation Therapy Use , Tracey Lynn Koehlmoos

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Instant insights, infinite possibilities

77 interesting medical research topics for 2024

Last updated

25 November 2023

Reviewed by

Brittany Ferri, PhD, OTR/L

Short on time? Get an AI generated summary of this article instead

Medical research is the gateway to improved patient care and expanding our available treatment options. However, finding a relevant and compelling research topic can be challenging.

Use this article as a jumping-off point to select an interesting medical research topic for your next paper or clinical study.

• How to choose a medical research topic

When choosing a research topic , it’s essential to consider a couple of things. What topics interest you? What unanswered questions do you want to address? 

During the decision-making and brainstorming process, here are a few helpful tips to help you pick the right medical research topic:

Focus on a particular field of study

The best medical research is specific to a particular area. Generalized studies are often too broad to produce meaningful results, so we advise picking a specific niche early in the process. 

Maybe a certain topic interests you, or your industry knowledge reveals areas of need.

Look into commonly researched topics

Once you’ve chosen your research field, do some preliminary research. What have other academics done in their papers and projects? 

From this list, you can focus on specific topics that interest you without accidentally creating a copycat project. This groundwork will also help you uncover any literature gaps—those may be beneficial areas for research.

Get curious and ask questions

Now you can get curious. Ask questions that start with why, how, or what. These questions are the starting point of your project design and will act as your guiding light throughout the process. 

For example: 

What impact does pollution have on children’s lung function in inner-city neighborhoods? 

Why is pollution-based asthma on the rise? 

How can we address pollution-induced asthma in young children? 

• 77 medical research topics worth exploring in 2023

Need some research inspiration for your upcoming paper or clinical study? We’ve compiled a list of 77 topical and in-demand medical research ideas. Let’s take a look. 

• Exciting new medical research topics

If you want to study cutting-edge topics, here are some exciting options:

COVID-19 and long COVID symptoms

Since 2020, COVID-19 has been a hot-button topic in medicine, along with the long-term symptoms in those with a history of COVID-19. 

Examples of COVID-19-related research topics worth exploring include:

The long-term impact of COVID-19 on cardiac and respiratory health

COVID-19 vaccination rates

The evolution of COVID-19 symptoms over time

New variants and strains of the COVID-19 virus

Changes in social behavior and public health regulations amid COVID-19

Vaccinations

Finding ways to cure or reduce the disease burden of chronic infectious diseases is a crucial research area. Vaccination is a powerful option and a great topic to research. 

Examples of vaccination-related research topics include:

mRNA vaccines for viral infections

Biomaterial vaccination capabilities

Vaccination rates based on location, ethnicity, or age

Public opinion about vaccination safety 

Artificial tissues fabrication

With the need for donor organs increasing, finding ways to fabricate artificial bioactive tissues (and possibly organs) is a popular research area. 

Examples of artificial tissue-related research topics you can study include:

The viability of artificially printed tissues

Tissue substrate and building block material studies

The ethics and efficacy of artificial tissue creation

• Medical research topics for medical students

For many medical students, research is a big driver for entering healthcare. If you’re a medical student looking for a research topic, here are some great ideas to work from:

Sleep disorders

Poor sleep quality is a growing problem, and it can significantly impact a person’s overall health. 

Examples of sleep disorder-related research topics include:

How stress affects sleep quality

The prevalence and impact of insomnia on patients with mental health conditions

Possible triggers for sleep disorder development

The impact of poor sleep quality on psychological and physical health

How melatonin supplements impact sleep quality

Alzheimer’s and dementia 

Cognitive conditions like dementia and Alzheimer’s disease are on the rise worldwide. They currently have no cure. As a result, research about these topics is in high demand. 

Examples of dementia-related research topics you could explore include:

The prevalence of Alzheimer’s disease in a chosen population

Early onset symptoms of dementia

Possible triggers or causes of cognitive decline with age

Treatment options for dementia-like conditions

The mental and physical burden of caregiving for patients with dementia

• Lifestyle habits and public health

Modern lifestyles have profoundly impacted the average person’s daily habits, and plenty of interesting topics explore its effects. 

Examples of lifestyle and public health-related research topics include:

The nutritional intake of college students

The impact of chronic work stress on overall health

The rise of upper back and neck pain from laptop use

Prevalence and cause of repetitive strain injuries (RSI)

• Controversial medical research paper topics

Medical research is a hotbed of controversial topics, content, and areas of study. 

If you want to explore a more niche (and attention-grabbing) concept, here are some controversial medical research topics worth looking into:

The benefits and risks of medical cannabis

Depending on where you live, the legalization and use of cannabis for medical conditions is controversial for the general public and healthcare providers.

Examples of medical cannabis-related research topics that might grab your attention include:

The legalization process of medical cannabis

The impact of cannabis use on developmental milestones in youth users

Cannabis and mental health diagnoses

CBD’s impact on chronic pain

Prevalence of cannabis use in young people

The impact of maternal cannabis use on fetal development 

Understanding how THC impacts cognitive function

Human genetics

The Human Genome Project identified, mapped, and sequenced all human DNA genes. Its completion in 2003 opened up a world of exciting and controversial studies in human genetics.

Examples of human genetics-related research topics worth delving into include:

Medical genetics and the incidence of genetic-based health disorders

Behavioral genetics differences between identical twins

Genetic risk factors for neurodegenerative disorders

Machine learning technologies for genetic research

Sexual health studies

Human sexuality and sexual health are important (yet often stigmatized) medical topics that need new research and analysis.

As a diverse field ranging from sexual orientation studies to sexual pathophysiology, examples of sexual health-related research topics include:

The incidence of sexually transmitted infections within a chosen population

Mental health conditions within the LGBTQIA+ community

The impact of untreated sexually transmitted infections

Access to safe sex resources (condoms, dental dams, etc.) in rural areas

• Health and wellness research topics

Human wellness and health are trendy topics in modern medicine as more people are interested in finding natural ways to live healthier lifestyles. 

If this field of study interests you, here are some big topics in the wellness space:

Gluten sensitivity

Gluten allergies and intolerances have risen over the past few decades. If you’re interested in exploring this topic, your options range in severity from mild gastrointestinal symptoms to full-blown anaphylaxis. 

Some examples of gluten sensitivity-related research topics include:

The pathophysiology and incidence of Celiac disease

Early onset symptoms of gluten intolerance

The prevalence of gluten allergies within a set population

Gluten allergies and the incidence of other gastrointestinal health conditions

Pollution and lung health

Living in large urban cities means regular exposure to high levels of pollutants. 

As more people become interested in protecting their lung health, examples of impactful lung health and pollution-related research topics include:

The extent of pollution in densely packed urban areas

The prevalence of pollution-based asthma in a set population

Lung capacity and function in young people

The benefits and risks of steroid therapy for asthma

Pollution risks based on geographical location

Plant-based diets

Plant-based diets like vegan and paleo diets are emerging trends in healthcare due to their limited supporting research. 

If you’re interested in learning more about the potential benefits or risks of holistic, diet-based medicine, examples of plant-based diet research topics to explore include:

Vegan and plant-based diets as part of disease management

Potential risks and benefits of specific plant-based diets

Plant-based diets and their impact on body mass index

The effect of diet and lifestyle on chronic disease management

Health supplements

Supplements are a multi-billion dollar industry. Many health-conscious people take supplements, including vitamins, minerals, herbal medicine, and more. 

Examples of health supplement-related research topics worth investigating include:

Omega-3 fish oil safety and efficacy for cardiac patients

The benefits and risks of regular vitamin D supplementation

Health supplementation regulation and product quality

The impact of social influencer marketing on consumer supplement practices

Analyzing added ingredients in protein powders

• Healthcare research topics

Working within the healthcare industry means you have insider knowledge and opportunity. Maybe you’d like to research the overall system, administration, and inherent biases that disrupt access to quality care. 

While these topics are essential to explore, it is important to note that these studies usually require approval and oversight from an Institutional Review Board (IRB). This ensures the study is ethical and does not harm any subjects. 

For this reason, the IRB sets protocols that require additional planning, so consider this when mapping out your study’s timeline. 

Here are some examples of trending healthcare research areas worth pursuing:

The pros and cons of electronic health records

The rise of electronic healthcare charting and records has forever changed how medical professionals and patients interact with their health data. 

Examples of electronic health record-related research topics include:

The number of medication errors reported during a software switch

Nurse sentiment analysis of electronic charting practices

Ethical and legal studies into encrypting and storing personal health data

Inequities within healthcare access

Many barriers inhibit people from accessing the quality medical care they need. These issues result in health disparities and injustices. 

Examples of research topics about health inequities include:

The impact of social determinants of health in a set population

Early and late-stage cancer stage diagnosis in urban vs. rural populations

Affordability of life-saving medications

Health insurance limitations and their impact on overall health

Diagnostic and treatment rates across ethnicities

People who belong to an ethnic minority are more likely to experience barriers and restrictions when trying to receive quality medical care. This is due to systemic healthcare racism and bias. 

As a result, diagnostic and treatment rates in minority populations are a hot-button field of research. Examples of ethnicity-based research topics include:

Cancer biopsy rates in BIPOC women

The prevalence of diabetes in Indigenous communities

Access inequalities in women’s health preventative screenings

The prevalence of undiagnosed hypertension in Black populations

• Pharmaceutical research topics

Large pharmaceutical companies are incredibly interested in investing in research to learn more about potential cures and treatments for diseases. 

If you’re interested in building a career in pharmaceutical research, here are a few examples of in-demand research topics:

Cancer treatment options

Clinical research is in high demand as pharmaceutical companies explore novel cancer treatment options outside of chemotherapy and radiation. 

Examples of cancer treatment-related research topics include:

Stem cell therapy for cancer

Oncogenic gene dysregulation and its impact on disease

Cancer-causing viral agents and their risks

Treatment efficacy based on early vs. late-stage cancer diagnosis

Cancer vaccines and targeted therapies

Immunotherapy for cancer

Pain medication alternatives

Historically, opioid medications were the primary treatment for short- and long-term pain. But, with the opioid epidemic getting worse, the need for alternative pain medications has never been more urgent. 

Examples of pain medication-related research topics include:

Opioid withdrawal symptoms and risks

Early signs of pain medication misuse

Anti-inflammatory medications for pain control

• Identify trends in your medical research with Dovetail

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Home > USC Columbia > Public Health, Arnold School of > SPH_HEALTH_SERVICES_POLICY_MANAGEMENT > Health Services Policy and Management Theses and Dissertations

Health Services Policy and Management Theses and Dissertations

Theses/dissertations from 2024 2024.

The Role of Telehealth and Obstetrics Capacity on Maternal Health Care: a Mixed Methods Approach , Shanikque L. Barksdale

Theses/Dissertations from 2023 2023

The Intersectionality of Rurality and Race on COVID-19 Vaccination Among Adults in the United States , Shiba Simon Bailey

Examining the Associations of the Kidney Allocation System With Patient Sensitivity, Wait Time to Transplant, and Donor Distance , Shamika Danielle Jones

Female Infertility and Maternal and Infant Outcomes in South Carolina – The Role of Insurance Type , Chelsea Mencio Norregaard

Beyond Vaccination Coverage: A Critical Look At Zero-Dose Children in Sub-Saharan Africa , Chamberline Ekene Ozigbu

Complementary and Integrative Health (CIH) And Opioid Use Among Adults With Chronic Noncancer Pain in the US , Yi-Wen Shih

Correlates of Immunization Timeliness in Three South Asian Countries: Secondary Analysis of Demographic and Health Surveys , Tanzir Ahmed Shuvo

Patient Experiences and Disparities in Telehealth HIV Care During the COVID-19 Pandemic: Study Results From the Southern United States , Valerie Yelverton

Theses/Dissertations from 2022 2022

Association of Prior Periodontal Disease With Cancer – Exploring Epidemiologic Evidence of Periodontal Exudate-Exposed Site Cancer Risk Versus Remote Gastrointestinal Sites , Asma Alzahrani

Gonorrhea: Core Areas and State Policies , Jessica Purser

Subject Cognitive Decline in Informal Caregivers , Eunika Simons

Identifying Racial Differences in Colorectal Polyp Profile at Screening Colonoscopy Using Traditional Regression and Machine Learning Approaches , Yuqi Wu

Theses/Dissertations from 2021 2021

Examining the Cost and Quality Relationship in Medicare , Alexandria Fleming Delage

Evaluating the Health Impact of CenteringPregnancy Program Versus Traditional Prenatal Care in Midland Obstetric Clinics and Validating Selected Item On Birth Certificate , Oluwatosin A. Momodu

Hear My Voice: Qualitative Studies to Explore What Empowers Patients to Talk With Their Doctor and Participate in Making Health Care Decisions , Alicia Marie Oostdyk

A Cost Effectiveness Analysis Of The Nutritious Eating With Soul Study , Mary Jones Wilson

Theses/Dissertations from 2020 2020

Magnet Recognition (Mr) and Hospital Quality Outcomes in the U.S.A– Analysis Based on 2017 Hospital Data , Abdulmalik Alhammad

Effect of Lifestyle, Medical School Culture and Income on Medical Students' Decision to Pursue a Primary Care Career in Saudi Arabia , Ahmed Abdullah Alhussain

Package Warning Labels for Communicating Relative Risks of Cigarettes, Heated Tobacco Products, and E-Cigarettes , Yoo Jin Cho

Correlates of Maternal Health Service Use and Women’s Experiences Using Antenatal Care in Ghana: A Mixed-Methods Study , Anna Cofie

Examining Parental Perceptions and Decisions to Uptake Child Influenza Immunizations: Assessing Pandemic and Policy Impacts on Vaccination Rates Following the H1N1 Pandemic, and the ACIP LAIV Preferential Recommendation Revocation , Amir H. Mehrabi

The Impact of Financial Incentives on Urban-Rural Disparities in Dental Supply: Evidence From Thailand , Rakchanok Noochpoung

Effectiveness and Experience of an Integrated Maternal Mental Healthcare Intervention in Private Clinics and Public Health Facilities in Pakistan , Syeda Somyyah Owais

Aging With HIV in the United States: Trends and Impact of Hospital Stays on Inpatient Resource Utilization, and Costs of Care, 2003-2015 , Khairul Alam Siddiqi

Maternal Preventive Dental Services Utilization: The Role of Preconception Oral Health Counseling in and the Association With Birth Outcomes: Evidence From South Carolina Prams , Monique Johnette Williams

Effectiveness Among Community Health Center Governing Boards: An Assessment of the Different Governing Board Members’ Perspectives , Brandi L. Wright

Theses/Dissertations from 2019 2019

Factors Associated with Advance Care Plans and End-Of-Life Care Choices Among Elderly Americans: An Analysis of Health and Retirement Study Data , Agha Ajmal

The Association of Reimbursement Methods With the Tendency of Primary Care Physicians to Apply the American Diabetic Association’s Recommendations and Make Referrals to Specialists Among Ambulatory Care Patients in Us Outpatient Settings. , Abdullah Alharbi

Examining Women’s Perceptions of Maternity Care in Public and Private Sectors of National Guard Hospitals in Saudi Arabia: A Qualitative Study , Hanin M. Almahmoud

Effect of Severe Economic Recession on the Psychological Distress: Evidence of Modifying Effect of Risky Behaviors and Insurance Status , Lumi Bakos

Clinically Integrated Networks: The ‘Magic Pill’ for Improving the Quality of Health Care? , Kaitlyn Ann Crosby

Did Medicaid Expansion Under the Affordable Care Act Reduce the Likelihood That People Report Employment Status Changes Due to Health, U.S., 2009-2017 , Songyuan Deng

The Relationship Between the Electronic Health Record Patient Portal and Shared Decision Making , Gloria Esoimeme

HIV Care Location: An Evaluation of Single Versus Multi Facility Utilization of HIV/Aids Care Services and Patient Health Outcomes and Clinical Indicators in South Carolina , Melanie Gwynn

The Intergenerational Effects of Adverse Childhood Experiences on Children’s Emergency Department Utilization and Depression and Anxiety in South Carolina , Eboni E. Haynes

Assessing the Impact of South Carolina’s Medicaid Adult Dental Policy on Dental Emergency Department Visits , Victor Kirksey

The Association of Rural Hospital Closures with In-Hospital and 30-Day Post Hospital Discharge Mortality from Emergency Care Sensitive Conditions , Melinda A. Merrell

Health Insurance Program for the Poor, Out-Of-Pocket Costs, and Catastrophic Health Expenditures in India , Shyamkumar Sriram

The Prescribing Patterns of Gabapentin and Pregabalin in a Medicaid Population Amid the Opioid Epidemic , Sarah Sullivan

The Association of Health Insurance and Prescription Drug Coverage on Cost-Related Non-Adherence and Hospitalization Across Age-Related Groups of Individuals With COPD , Shamika Martin Walls

Theses/Dissertations from 2018 2018

Investigating Drug-Related Violence in Indian Country: The Lumbee Tribe of North Carolina , Asa Alena Revels

The Impact Of The Medicaid Coverage Expansion And The Removal Of Cost-Sharing Under The Affordable Care Act On Mammography And Pap Tests , Abeer Alharbi

Introduction Of Innovative Medical Practices In Mayo Clinic: Effect Of The Interventions On Patient Outcomes , Duaa I. Aljabri

How Do Health System Employees with Established Musculoskeletal Complaints Decide on Their Treatment Pathway? A Qualitative Approach , Noor Alshareef

Patient Characteristics, Discharge Disposition, and Hospital Factors Associated with All cause 30-day Hospital Readmission for Total Joint Arthroplasty in 2014 , Hamad Yahya Alzamanan

Factors Affecting Patient Satisfaction With Healthcare System Of Turkey , Serdar Aydin

The Association of Hospital Practices to Breastfeeding Behaviors in South Carolina: Analysis of 2013-2015 Pregnancy Risk Assessment Monitoring System (PRAMS) Data , Larisa Donnette Bruner

Association Of Insurance And Provider Type With Patients’ Perceived Cost And Ease Of Access To Healthcare Services Among Medicare Beneficiaries Diagnosed With Diabetes , Metria Harris

Residential Mobility And Enrollment Churn In A Medicaid Population , John E. Stewart

Theses/Dissertations from 2017 2017

Association of Freestanding Dialysis Facility Size, Quality Incentive Program Scores and Patient Survival , Fozia Ajmal

Racism Across The American South: The Association Between Racism On Twitter, Rurality, & Black Mortality , Jarrod Bullard

Association of Provider Communication and Inpatient Hospital Readmissions , Jeremy Dean Faulkenburg

Economic Burden of Tuberculosis among Bangladeshi Population and Economic Evaluation of the Current Approaches of Tuberculosis Control in Bangladesh , Mohammad Rifat Haider

The Association between Clinical Recognition of Depression and Unplanned Hospital Readmission among Older Adults , Karen M. Jones

Association between Job Satisfaction and Pay: The Case of the Wage Payment System of Dental Clinics in Korea , Eui Jeong Kim

Feasibility of Introducing Investor-Owned Hospitals in Korea , HongSeok Seo

A Study on Satisfaction of Dental Implant Patients , Jung Su O

Depressive Symptoms Association With Health Outcomes And Treatment In Older Americans With Diabetes , Lashonda Jovon Williams

Internet Speed and the Effect on Health Information Technology Adoption , Matthew W. Yuen

Theses/Dissertations from 2016 2016

Contextualizing Multilayered Sexual Subjectivities of Heterosexual Black Female Undergraduate Students at a Predominantly White Institution in the South , Amarachi Rossana Anakaraonye

Molecular Cues Of Pattern-Recognition-Receptor Pathways In Redox-Toxicity-Driven Environmental NAFLD , Suvarthi Das

Effectiveness Of Community-Based EIBI Treatment: A Longitudinal Analysis Of Adaptive Behavior And Language Outcomes , John Kuntz

Low-Intensity Physical Activity And Cardiometabolic Risk Factors Among Older Adults With Multiple Chronic Conditions , Yueyao Li

Smoking-Related Stigma: A Public Health Tool Or A Damaging Force ? , Paula A. Lozano

Novel Methods for Analyzing Longitudinal Data with Measurement Error in the Time Variable , Caroline Munindi Mulatya

Practice Characteristics That Matter In the Provision of Health Education Services By Primary Care Physicians , George Paul Newby Jr.

Demand And Supply Factors Affecting Maternal Healthcare Utilization Pattern In Nigeria , Dumbiri Joy Powell

Healthcare Utilization And Expenditure Patterns Among Older Adults With Functional And Medical Decline , Ashley Shields Robertson

Frequency of Colonoscopy Surveillance in Average-Risk Adults Relative to Guideline Recommendations , Meng-Han Tsai

Examining The Relationship Among Patient-Centered Communication, Patient Engagement, And Patient’s Perception Of Quality Of Care In The General U.S. Adult Population , Jumee Wang

The Undiagnosed Patient and The Diagnostic Odyssey: Current Genetic Counseling Practices and Perspectives , Amelia Cordell Wardyn

Job Satisfaction And Intent To Quit Outcomes Among Home Health Aides In Home Health Care Industry Of The United States: A Multilevel Study , Seokwon Yoon

Theses/Dissertations from 2015 2015

Relationship Between Job Satisfaction Among Frontline Staff and Patient Satisfaction: Evidence from Community Health Centers in South Carolina , Ashley Lynn Barnes

Association between Electronic Prescribing among Ambulatory Care Providers and Adverse Drug Event Hospitalizations in Older Adults , Grishma Patel Bhavsar

Spatial Analysis and Correlates of Waterpipe Tobacco Smoking among College Students in the United States , Frederick Richard Kates

Community-Level Factors Associated with Health-Related Quality of Life Among Older Adults , Yu-Hsiu Lin

Examination of the Association of Receipt of Opioid Therapy and Lung Cancer Patient Survival Rates among South Carolina Medicaid Recipients , Jametta Sade Magwood

Patient And Provider Characteristics And Practice Patterns of Primary Care Physicians Of Weight-Related Counseling , Kolby T. Redd

Dental Insurance as a Mitigating Factor in Reducing the Risk of Mortality Among Working-Age Adults with Dental Caries and Periodontitis , Naveed Sadiq

Longitudinal Study of the Effectiveness of the South Carolina Medicaid Policy for the Application of Fluoride Varnish for Children Age Three and Under , Christine N. Veschusio

Theses/Dissertations from 2014 2014

Impact of Multi-Hospital System Organizational Structure on Financial Performance and Quality of Care in Rural Hospitals , George Raul Audi

Two Studies of Family-Centered Care Family-Centered Care and Shared Decision Making: Are they the same Construct? and The Association of Family-Centered Care and Shared Decision Making with Receipt of all Needed Prescription Drugs and Emergency Department Visits in Children with Asthma , Barbara Lee Brumbaugh

Women’s HIV Prevention Study (Whips): A Proposal to Pilot Test an HIV Intervention for Older African American Women Living with HIV , Charsey Cherry

Analysis of Risk Factors Contributing to Home–Based Direct Care Workers (DCWS) Occupational Injury in Long–Term Care , Hanadi Y. Hamadi

Mental Disorders, Mental Health Problems, and Treatment Among Army Recruiters and Recruiting Candidates, 2011-2013: An Examination of Current Rates in the Recruiting Population , Chadwick Karl Knight

Theses/Dissertations from 2013 2013

Examining the Role of Electronic Medical Record Generated Provider Reminders On Provider offering of Breast Cancer Screening Services , Charles Beverley, Jr.

An Assessment of Injury Presentation to Determine Elder Abuse Prevalence in South Carolina , Brittani L. Harmon

The Relationship Between Electronic Health Record Implementation and Outcomes of Care For Three Cardiovascular Procedures , Deshia Ann Leonhirth

Assessment of the Effectiveness of an Innovative Screening Colonoscopy Protocol in Producing High Quality Performance and Outcomes by Trained Primary Care Physicians , Yi Jhen Li

Relationship Between the Experience of Perceived and Physician Diagnosed Arthritis and the Presence of DSM-IV Criteria-based Major Depression (MDD) Among Older , Ryan Neil Schmidt

Differential Effects of the Great Recession on Minority Populations , Samuel Towne

Theses/Dissertations from 2012 2012

Assessing Risk Factors, Cost And Mortality Due to Ventilator-Associated Pneumonia (VAP) Using National Inpatient Sample Data , Hasan A. Areabi

Factors Associated With Local Public Health Agency Participation In Obesity Prevention, 2008 , Jeff Hatala

Weathering the Storm Faithfully: African American Women's and Clergy's Perspectives about Natural Disasters and the Role of the Baptist Church In Disaster Preparedness , TaQuesa McClain

A Profile of Diabetes-related Below Knee Amputations Using Nation-wide Patient Discharge Data: Patient, Provider, And Insurance Characteristics , Flora Elisa Melvin

Is Optimum Time to Coronary Artery bypass Surgery Associated With Hospital Teaching Status and Payer Source? A Comparison of Outcomes and Costs Among Non St Segment Elevated Myocardial Infarction Patients and St Segment Elevated Myocardial Infarction Patients , Lamont Andre' Melvin

Association Between Clinical Decision Support System Use and Health Care Disparities in the Treatment and Outcomes of Acute Myocardial Infarction and Pneumonia , Jordan Paul Mitchell

Use of Endoscopic Third Ventriculostomy (ETV) In Treatment of Pediatric Obstructive Hydrocephalus; A Multi-Level Retrospective Analysis of the United States Pediatric Population. , Irene Nancy Okech

Healthcare Cost Implications of Medicaid Managed Care , Margarita Morales Pate

Effectiveness of Medicare's Nonpayment Policy On Hospital-Acquired Conditions , Kristin Schuller

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• Youth Program
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PhD Program: Dissertations

• The Effect of Private Managed Care on Medicaid Spending and Fiscal Predictability
• Physician Learning: The Role of Physician Practice Organization and Competition
• Firm Response to Low-Reimbursement Patients in the Market for Unscheduled Outpatient Care
• The Demand for Preventive Activities and its Association with Medicare Expenditures
• Perspectives on Firm Decision Making During Risky Technology Acquisitions
• Information in Medicare HMO Markets: The Interplay of Advertising and Report Cards
• Generic Pharmaceutical Entry via Paragraph IV Certification
• Precautionary Savings to Manage Common Health Risks Among the Poor
• The Impact of Medical Spending Growth on Guaranteed Renewable Health Insurance
• The Effect of Publicized Hospital Charges on Hospital Choice
• The Effects of Language and Geography-Defined Groups on Health Insurance Choice
• The Effect of Specialty Tier Placement on Enrollment and Utilization in Medicare Part D.
• Competition, Ownership Type, and Provider Behavior in the Hospice Industry
• Market Heterogeneity and Drug Innovation
• Changing Activity and Behavior of Primary Care Physicians Following Practice by Academic Medical Centers
• Medicare Prescription Drug Legislation: An Analysis of Economic Effect
• Economic Determinants and Consequences of Physical Activity
• The Impact of Competition in Hospital Markets on Disparities in Procedure Use: The Care of CABG Surgery for AMI Patients
• Organizational Form and Niche Overlap: The Dynamics of Surgery Center Entry and Exit
• Is More Necessarily Better? The Impact of Prescription Drug Coverage on Clinical Outcomes in the Medicare Population
• The Impact of Physical Activity on Short-Run Healthcare Utilization and Costs in US Adults
• Perception, Selection and Performance: Hospitals’ Adaption Strategies
• Creative Value in Pharmaceutical and Biotechnology Research: The Role of Resource Allocation and Capabilities Development
• Patent Policy and Entry: Evidence form Pharmaceutical Patent Challenges
• The Formation of Surgeon Peer Reputation and its Effect on Technology Adoption
• Understanding the Role of Genetic Factors and Risky Health Behavior on Adolescent Student Outcomes
• Public Insurance Programs: The Impact of Uncompensated Care, Reimbursement Funds and Medicaid
• Analysis of Acquisitions by Medical Device Manufacturers
• Responses to Cardiac Surgery Mortality Report Cards
• Medicare and Prescription Drug Coverage: Impacts on Non-Drug Medical Spending and Disability
• The Impact and Response of Physicians to Malpractice Liability Claims
• Physician Agency Issues and Response to FDA Labeling: The Case of Anti-Cancer Drugs
• The Adoption and Diffusion of Hospital Information Systems
• Firm Ownership Form and Quality: An Examination of the Impact of the Balanced Budget Act of 1997 on Hospitals
• Responses to Mortality Report Cards for Cardiac Surgery
• Educational Programs As Incentives to Students for Selecting Dental Schools of Their Choice
• The Value of Choice in Health Insurance Purchasing
• Price Regulation, Capital Market Imperfections, and Strategic R&D Investment Behavior in the Pharmaceutical Industry: Consequences for Innovation
• The Impact of CABG Report Cards on Racial Disparities

1999 – 2002

• Community Rating and Regulatory Reform in Health Insurance Markets
• Access to Free Care for the Uninsured and its Effect on Private Health Insurance
• Employee Demand for Health Insurance and Employer Health Benefit Choices
• Physician’s Practice Styles and How They Change as a Higher Percentage of Managed Care Patients are Treated as a Percentage of their Patient Panel
• Demand for and Provision of HMO Quality Information
• How People Trade-Off Pregnancy and HIV Risk When Choosing Forms of Contraception

1996 – 1998

• Do Relative Fees Affect Utilization of Surgical Procedures Under Medicare? A Study of Geographic Variations
• Technology Diffusion of Marketed and Unmarketed Products: Addressing the Social Welfare of Promotional Restriction and Positive Reimbursement Policy for Off-Label Anti-Cancer Drugs
• The Impact of Internal Structural Changes on Hospital Costs
• Environmental Turbulence, Organizational Capabilities and Strategic Response: Hospital Strategy in an Era of Managed Care
• Role of Functional Status in Predicting Inpatient Mortality with AIDS
• How Parent’s Schooling Affects Child Health: The Importance of Quality Time

1992 – 1995

• A Theory of Congestion in General Hospitals
• An Analysis of the Effect of Changes in Coinsurance Rates on Health Care Use and Cost
• The Effects of Alternative Third Party Reimbursement Systems on the Adoption and Diffusion of New Medical Technologies
• Hospital Pricing and Organizational Control: The Effect of Government Payment Changes on Hospital Prices
• A Theory of Incentives for Providers: Payment Systems, Quality of Services, and Consumer Information in Health Care Markets
• Productive Efficiency and Cost-Effectiveness of Public-Funded Drug Treatment Programs in New Jersey

1987 – 1991

• A Theoretical and Empirical Study of Physician Compensation Arrangements
• The Effects of Liability on the Practice Patterns of Obstetricians and Gynecologists
• Measuring Hospital Quality of Care: A Study of the Failure Rate, Adverse-Occurrence Rate and Death Rate
• Consumer Discount Rates for Health and Money in Health Care Cost Effectiveness Analysis
• The Extent and the Determinants of Variations in Nursing Home Staffing and Practice

• Research article
• Open access
• Published: 10 April 2021

The role of artificial intelligence in healthcare: a structured literature review

• Silvana Secinaro 1 ,
• Davide Calandra 1 ,
• Aurelio Secinaro 2 ,
• Vivek Muthurangu 3 &
• Paolo Biancone 1  

BMC Medical Informatics and Decision Making volume  21 , Article number:  125 ( 2021 ) Cite this article

167k Accesses

325 Citations

28 Altmetric

Metrics details

Background/Introduction

Artificial intelligence (AI) in the healthcare sector is receiving attention from researchers and health professionals. Few previous studies have investigated this topic from a multi-disciplinary perspective, including accounting, business and management, decision sciences and health professions.

The structured literature review with its reliable and replicable research protocol allowed the researchers to extract 288 peer-reviewed papers from Scopus. The authors used qualitative and quantitative variables to analyse authors, journals, keywords, and collaboration networks among researchers. Additionally, the paper benefited from the Bibliometrix R software package.

The investigation showed that the literature in this field is emerging. It focuses on health services management, predictive medicine, patient data and diagnostics, and clinical decision-making. The United States, China, and the United Kingdom contributed the highest number of studies. Keyword analysis revealed that AI can support physicians in making a diagnosis, predicting the spread of diseases and customising treatment paths.

Conclusions

The literature reveals several AI applications for health services and a stream of research that has not fully been covered. For instance, AI projects require skills and data quality awareness for data-intensive analysis and knowledge-based management. Insights can help researchers and health professionals understand and address future research on AI in the healthcare field.

Peer Review reports

Artificial intelligence (AI) generally applies to computational technologies that emulate mechanisms assisted by human intelligence, such as thought, deep learning, adaptation, engagement, and sensory understanding [ 1 , 2 ]. Some devices can execute a role that typically involves human interpretation and decision-making [ 3 , 4 ]. These techniques have an interdisciplinary approach and can be applied to different fields, such as medicine and health. AI has been involved in medicine since as early as the 1950s, when physicians made the first attempts to improve their diagnoses using computer-aided programs [ 5 , 6 ]. Interest and advances in medical AI applications have surged in recent years due to the substantially enhanced computing power of modern computers and the vast amount of digital data available for collection and utilisation [ 7 ]. AI is gradually changing medical practice. There are several AI applications in medicine that can be used in a variety of medical fields, such as clinical, diagnostic, rehabilitative, surgical, and predictive practices. Another critical area of medicine where AI is making an impact is clinical decision-making and disease diagnosis. AI technologies can ingest, analyse, and report large volumes of data across different modalities to detect disease and guide clinical decisions [ 3 , 8 ]. AI applications can deal with the vast amount of data produced in medicine and find new information that would otherwise remain hidden in the mass of medical big data [ 9 , 10 , 11 ]. These technologies can also identify new drugs for health services management and patient care treatments [ 5 , 6 ].

Courage in the application of AI is visible through a search in the primary research databases. However, as Meskò et al. [ 7 ] find, the technology will potentially reduce care costs and repetitive operations by focusing the medical profession on critical thinking and clinical creativity. As Cho et al. and Doyle et al. [ 8 , 9 ] add, the AI perspective is exciting; however, new studies will be needed to establish the efficacy and applications of AI in the medical field [ 10 ].

Our paper will also concentrate on AI strategies for healthcare from the accounting, business, and management perspectives. The authors used the structured literature review (SLR) method for its reliable and replicable research protocol [ 11 ] and selected bibliometric variables as sources of investigation. Bibliometric usage enables the recognition of the main quantitative variables of the study stream [ 12 ]. This method facilitates the detection of the required details of a particular research subject, including field authors, number of publications, keywords for interaction between variables (policies, properties and governance) and country data [ 13 ]. It also allows the application of the science mapping technique [ 14 ]. Our paper adopted the Bibliometrix R package and the biblioshiny web interface as tools of analysis [ 14 ].

The investigation offers the following insights for future researchers and practitioners:

bibliometric information on 288 peer-reviewed English papers from the Scopus collection.

Identification of leading journals in this field, such as Journal of Medical Systems, Studies in Health Technology and Informatics, IEEE Journal of Biomedical and Health Informatics, and Decision Support Systems.

Qualitative and quantitative information on authors’ Lotka’s law, h-index, g-index, m-index, keyword, and citation data.

Research on specific countries to assess AI in the delivery and effectiveness of healthcare, quotes, and networks within each region.

A topic dendrogram study that identifies five research clusters: health services management, predictive medicine, patient data, diagnostics, and finally, clinical decision-making.

An in-depth discussion that develops theoretical and practical implications for future studies.

The paper is organised as follows. Section  2 lists the main bibliometric articles in this field. Section  3 elaborates on the methodology. Section  4 presents the findings of the bibliometric analysis. Section  5 discusses the main elements of AI in healthcare based on the study results. Section  6 concludes the article with future implications for research.

Related works and originality

As suggested by Zupic and Čater [ 15 ], a research stream can be evaluated with bibliometric methods that can introduce objectivity and mitigate researcher bias. For this reason, bibliometric methods are attracting increasing interest among researchers as a reliable and impersonal research analytical approach [ 16 , 17 ]. Recently, bibliometrics has been an essential method for analysing and predicting research trends [ 18 ]. Table  1 lists other research that has used a similar approach in the research stream investigated.

The scientific articles reported show substantial differences in keywords and research topics that have been previously studied. The bibliometric analysis of Huang et al. [ 19 ] describes rehabilitative medicine using virtual reality technology. According to the authors, the primary goal of rehabilitation is to enhance and restore functional ability and quality of life for patients with physical impairments or disabilities. In recent years, many healthcare disciplines have been privileged to access various technologies that provide tools for both research and clinical intervention.

Hao et al. [ 20 ] focus on text mining in medical research. As reported, text mining reveals new, previously unknown information by using a computer to automatically extract information from different text resources. Text mining methods can be regarded as an extension of data mining to text data. Text mining is playing an increasingly significant role in processing medical information. Similarly, the studies by dos Santos et al. [ 21 ] focus on applying data mining and machine learning (ML) techniques to public health problems. As stated in this research, public health may be defined as the art and science of preventing diseases, promoting health, and prolonging life. Using data mining and ML techniques, it is possible to discover new information that otherwise would be hidden. These two studies are related to another topic: medical big data. According to Liao et al. [ 22 ], big data is a typical “buzzword” in the business and research community, referring to a great mass of digital data collected from various sources. In the medical field, we can obtain a vast amount of data (i.e., medical big data). Data mining and ML techniques can help deal with this information and provide helpful insights for physicians and patients. More recently, Choudhury et al. [ 23 ] provide a systematic review on the use of ML to improve the care of elderly patients, demonstrating eligible studies primarily in psychological disorders and eye diseases.

Tran et al. [ 2 ] focus on the global evolution of AI research in medicine. Their bibliometric analysis highlights trends and topics related to AI applications and techniques. As stated in Connelly et al.’s [ 24 ] study, robot-assisted surgeries have rapidly increased in recent years. Their bibliometric analysis demonstrates how robotic-assisted surgery has gained acceptance in different medical fields, such as urological, colorectal, cardiothoracic, orthopaedic, maxillofacial and neurosurgery applications. Additionally, the bibliometric analysis of Guo et al. [ 25 ] provides an in-depth study of AI publications through December 2019. The paper focuses on tangible AI health applications, giving researchers an idea of how algorithms can help doctors and nurses. A new stream of research related to AI is also emerging. In this sense, Choudhury and Asan’s [ 26 ] scientific contribution provides a systematic review of the AI literature to identify health risks for patients. They report on 53 studies involving technology for clinical alerts, clinical reports, and drug safety. Considering the considerable interest within this research stream, this analysis differs from the current literature for several reasons. It aims to provide in-depth discussion, considering mainly the business, management, and accounting fields and not dealing only with medical and health profession publications.

Additionally, our analysis aims to provide a bibliometric analysis of variables such as authors, countries, citations and keywords to guide future research perspectives for researchers and practitioners, as similar analyses have done for several publications in other research streams [ 15 , 16 , 27 ]. In doing so, we use a different database, Scopus, that is typically adopted in social sciences fields. Finally, our analysis will propose and discuss a dominant framework of variables in this field, and our analysis will not be limited to AI application descriptions.

Methodology

This paper evaluated AI in healthcare research streams using the SLR method [ 11 ]. As suggested by Massaro et al. [ 11 ], an SLR enables the study of the scientific corpus of a research field, including the scientific rigour, reliability and replicability of operations carried out by researchers. As suggested by many scholars, the methodology allows qualitative and quantitative variables to highlight the best authors, journals and keywords and combine a systematic literature review and bibliometric analysis [ 27 , 28 , 29 , 30 ]. Despite its widespread use in business and management [ 16 , 31 ], the SLR is also used in the health sector based on the same philosophy through which it was originally conceived [ 32 , 33 ]. A methodological analysis of previously published articles reveals that the most frequently used steps are as follows [ 28 , 31 , 34 ]:

defining research questions;

writing the research protocol;

defining the research sample to be analysed;

developing codes for analysis; and

critically analysing, discussing, and identifying a future research agenda.

Considering the above premises, the authors believe that an SLR is the best method because it combines scientific validity, replicability of the research protocol and connection between multiple inputs.

As stated by the methodological paper, the first step is research question identification. For this purpose, we benefit from the analysis of Zupic and Čater [ 15 ], who provide several research questions for future researchers to link the study of authors, journals, keywords and citations. Therefore, RQ1 is “What are the most prominent authors, journal keywords and citations in the field of the research study?” Additionally, as suggested by Haleem et al. [ 35 ], new technologies, including AI, are changing the medical field in unexpected timeframes, requiring studies in multiple areas. Therefore, RQ2 is “How does artificial intelligence relate to healthcare, and what is the focus of the literature?” Then, as discussed by Massaro et al. [ 36 ], RQ3 is “What are the research applications of artificial intelligence for healthcare?”.

The first research question aims to define the qualitative and quantitative variables of the knowledge flow under investigation. The second research question seeks to determine the state of the art and applications of AI in healthcare. Finally, the third research question aims to help researchers identify practical and theoretical implications and future research ideas in this field.

The second fundamental step of the SLR is writing the research protocol [ 11 ]. Table  2 indicates the currently known literature elements, uniquely identifying the research focus, motivations and research strategy adopted and the results providing a link with the following points. Additionally, to strengthen the analysis, our investigation benefits from the PRISMA statement methodological article [ 37 ]. Although the SLR is a validated method for systematic reviews and meta-analyses, we believe that the workflow provided may benefit the replicability of the results [ 37 , 38 , 39 , 40 ]. Figure  1 summarises the researchers’ research steps, indicating that there are no results that can be referred to as a meta-analysis.

Source : Authors’ elaboration on Liberati et al. [ 37 ]

PRISMA workflow.

The third step is to specify the search strategy and search database. Our analysis is based on the search string “Artificial Intelligence” OR “AI” AND “Healthcare” with a focus on “Business, Management, and Accounting”, “Decision Sciences”, and “Health professions”. As suggested by [ 11 , 41 ] and motivated by [ 42 ], keywords can be selected through a top-down approach by identifying a large search field and then focusing on particular sub-topics. The paper uses data retrieved from the Scopus database, a multi-disciplinary database, which allowed the researchers to identify critical articles for scientific analysis [ 43 ]. Additionally, Scopus was selected based on Guo et al.’s [ 25 ] limitations, which suggest that “future studies will apply other databases, such as Scopus, to explore more potential papers” . The research focuses on articles and reviews published in peer-reviewed journals for their scientific relevance [ 11 , 16 , 17 , 29 ] and does not include the grey literature, conference proceedings or books/book chapters. Articles written in any language other than English were excluded [ 2 ]. For transparency and replicability, the analysis was conducted on 11 January 2021. Using this research strategy, the authors retrieved 288 articles. To strengthen the study's reliability, we publicly provide the full bibliometric extract on the Zenodo repository [ 44 , 45 ].

The fourth research phase is defining the code framework that initiates the analysis of the variables. The study will identify the following:

descriptive information of the research area;

source analysis [ 16 ];

author and citation analysis [ 28 ];

keywords and network analysis [ 14 ]; and

geographic distribution of the papers [ 14 ].

The final research phase is the article’s discussion and conclusion, where implications and future research trends will be identified.

At the research team level, the information is analysed with the statistical software R-Studio and the Bibliometrix package [ 15 ], which allows scientific analysis of the results obtained through the multi-disciplinary database.

The analysis of bibliometric results starts with a description of the main bibliometric statistics with the aim of answering RQ1, What are the most prominent authors, journal keywords and citations in the field of the research study?, and RQ2, How does artificial intelligence relate to healthcare, and what is the focus of the literature? Therefore, the following elements were thoroughly analysed: (1) type of document; (2) annual scientific production; (3) scientific sources; (4) source growth; (5) number of articles per author; (6) author’s dominance ranking; (7) author’s h-index, g-index, and m-index; (8) author’s productivity; (9) author’s keywords; (10) topic dendrogram; (11) a factorial map of the document with the highest contributions; (12) article citations; (13) country production; (14) country citations; (15) country collaboration map; and (16) country collaboration network.

Main information

Table  3 shows the information on 288 peer-reviewed articles published between 1992 and January 2021 extracted from the Scopus database. The number of keywords is 946 from 136 sources, and the number of keywords plus, referring to the number of keywords that frequently appear in an article’s title, was 2329. The analysis period covered 28 years and 1 month of scientific production and included an annual growth rate of 5.12%. However, the most significant increase in published articles occurred in the past three years (please see Fig.  2 ). On average, each article was written by three authors (3.56). Finally, the collaboration index (CI), which was calculated as the total number of authors of multi-authored articles/total number of multi-authored articles, was 3.97 [ 46 ].

Source : Authors’ elaboration

Annual scientific production.

Table  4 shows the top 20 sources related to the topic. The Journal of Medical Systems is the most relevant source, with twenty-one of the published articles. This journal's main issues are the foundations, functionality, interfaces, implementation, impacts, and evaluation of medical technologies. Another relevant source is Studies in Health Technology and Informatics, with eleven articles. This journal aims to extend scientific knowledge related to biomedical technologies and medical informatics research. Both journals deal with cloud computing, machine learning, and AI as a disruptive healthcare paradigm based on recent publications. The IEEE Journal of Biomedical and Health Informatics investigates technologies in health care, life sciences, and biomedicine applications from a broad perspective. The next journal, Decision Support Systems, aims to analyse how these technologies support decision-making from a multi-disciplinary view, considering business and management. Therefore, the analysis of the journals revealed that we are dealing with an interdisciplinary research field. This conclusion is confirmed, for example, by the presence of purely medical journals, journals dedicated to the technological growth of healthcare, and journals with a long-term perspective such as futures.

The distribution frequency of the articles (Fig.  3 ) indicates the journals dealing with the topic and related issues. Between 2008 and 2012, a significant growth in the number of publications on the subject is noticeable. However, the graph shows the results of the Loess regression, which includes the quantity and publication time of the journal under analysis as variables. This method allows the function to assume an unlimited distribution; that is, feature can consider values below zero if the data are close to zero. It contributes to a better visual result and highlights the discontinuity in the publication periods [ 47 ].

Source growth. Source : Authors’ elaboration

Finally, Fig.  4 provides an analytical perspective on factor analysis for the most cited papers. As indicated in the literature [ 48 , 49 ], using factor analysis to discover the most cited papers allows for a better understanding of the scientific world’s intellectual structure. For example, our research makes it possible to consider certain publications that effectively analyse subject specialisation. For instance, Santosh’s [ 50 ] article addresses the new paradigm of AI with ML algorithms for data analysis and decision support in the COVID-19 period, setting a benchmark in terms of citations by researchers. Moving on to the application, an article by Shickel et al. [ 51 ] begins with the belief that the healthcare world currently has much health and administrative data. In this context, AI and deep learning will support medical and administrative staff in extracting data, predicting outcomes, and learning medical representations. Finally, in the same line of research, Baig et al. [ 52 ], with a focus on wearable patient monitoring systems (WPMs), conclude that AI and deep learning may be landmarks for continuous patient monitoring and support for healthcare delivery.

Factorial map of the most cited documents.

This section identifies the most cited authors of articles on AI in healthcare. It also identifies the authors’ keywords, dominance factor (DF) ranking, h-index, productivity, and total number of citations. Table  5 identifies the authors and their publications in the top 20 rankings. As the table shows, Bushko R.G. has the highest number of publications: four papers. He is the editor-in-chief of Future of Health Technology, a scientific journal that aims to develop a clear vision of the future of health technology. Then, several authors each wrote three papers. For instance, Liu C. is a researcher active in the topic of ML and computer vision, and Sharma A. from Emory University Atlanta in the USA is a researcher with a clear focus on imaging and translational informatics. Some other authors have two publications each. While some authors have published as primary authors, most have published as co-authors. Hence, in the next section, we measure the contributory power of each author by investigating the DF ranking through the number of elements.

Authors’ dominance ranking

The dominance factor (DF) is a ratio measuring the fraction of multi-authored articles in which an author acts as the first author [ 53 ]. Several bibliometric studies use the DF in their analyses [ 46 , 54 ]. The DF ranking calculates an author’s dominance in producing articles. The DF is calculated by dividing the number of an author’s multi-authored papers as the first author (Nmf) by the author's total number of multi-authored papers (Nmt). This is omitted in the single-author case due to the constant value of 1 for single-authored articles. This formulation could lead to some distortions in the results, especially in fields where the first author is entered by surname alphabetical order [ 55 ].

The mathematical equation for the DF is shown as:

Table  6 lists the top 20 DF rankings. The data in the table show a low level of articles per author, either for first-authored or multi-authored articles. The results demonstrate that we are dealing with an emerging topic in the literature. Additionally, as shown in the table, Fox J. and Longoni C. are the most dominant authors in the field.

Authors’ impact

Table  7 shows the impact of authors in terms of the h-index [ 56 ] (i.e., the productivity and impact of citations of a researcher), g-index [ 57 ] (i.e., the distribution of citations received by a researcher's publications), m-index [ 58 ] (i.e., the h-index value per year), total citations, total paper and years of scientific publication. The H-index was introduced in the literature as a metric for the objective comparison of scientific results and depended on the number of publications and their impact [ 59 ]. The results show that the 20 most relevant authors have an h-index between 2 and 1. For the practical interpretation of the data, the authors considered data published by the London School of Economics [ 60 ]. In the social sciences, the analysis shows values of 7.6 for economic publications by professors and researchers who had been active for several years. Therefore, the youthfulness of the research area has attracted young researchers and professors. At the same time, new indicators have emerged over the years to diversify the logic of the h-index. For example, the g-index indicates an author's impact on citations, considering that a single article can generate these. The m-index, on the other hand, shows the cumulative value over the years.

The analysis, also considering the total number of citations, the number of papers published and the year of starting to publish, thus confirms that we are facing an expanding research flow.

Authors’ productivity

Figure  5 shows Lotka’s law. This mathematical formulation originated in 1926 to describe the publication frequency by authors in a specific research field [ 61 ]. In practice, the law states that the number of authors contributing to research in a given period is a fraction of the number who make up a single contribution [ 14 , 61 ].

Lotka’s law.

The mathematical relationship is expressed in reverse in the following way:

where y x is equal to the number of authors producing x articles in each research field. Therefore, C and n are constants that can be estimated in the calculation.

The figure's results are in line with Lotka's results, with an average of two publications per author in a given research field. In addition, the figure shows the percentage of authors. Our results lead us to state that we are dealing with a young and growing research field, even with this analysis. Approximately 70% of the authors had published only their first research article. Only approximately 20% had published two scientific papers.

Authors’ keywords

This section provides information on the relationship between the keywords artificial intelligence and healthcare . This analysis is essential to determine the research trend, identify gaps in the discussion on AI in healthcare, and identify the fields that can be interesting as research areas [ 42 , 62 ].

Table  8 highlights the total number of keywords per author in the top 20 positions. The ranking is based on the following elements: healthcare, artificial intelligence, and clinical decision support system . Keyword analysis confirms the scientific area of reference. In particular, we deduce the definition as “Artificial intelligence is the theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages” [ 2 , 63 ]. Panch et al. [ 4 ] find that these technologies can be used in different business and management areas. After the first keyword, the analysis reveals AI applications and related research such as machine learning and deep learning.

Additionally, data mining and big data are a step forward in implementing exciting AI applications. According to our specific interest, if we applied AI in healthcare, we would achieve technological applications to help and support doctors and medical researchers in decision-making. The link between AI and decision-making is the reason why we find, in the seventh position, the keyword clinical decision support system . AI techniques can unlock clinically relevant information hidden in the massive amount of data that can assist clinical decision-making [ 64 ]. If we analyse the following keywords, we find other elements related to decision-making and support systems.

The TreeMap below (Fig.  6 ) highlights the combination of possible keywords representing AI and healthcare.

Keywords treemap.

The topic dendrogram in Fig.  7 represents the hierarchical order and the relationship between the keywords generated by hierarchical clustering [ 42 ]. The cut in the figure and the vertical lines facilitate an investigation and interpretation of the different clusters. As stated by Andrews [ 48 ], the figure is not intended to find the perfect level of associations between clusters. However, it aims to estimate the approximate number of clusters to facilitate further discussion.

Topic dendrogram.

The research stream of AI in healthcare is divided into two main strands. The blue strand focuses on medical information systems and the internet. Some papers are related to healthcare organisations, such as the Internet of Things, meaning that healthcare organisations use AI to support health services management and data analysis. AI applications are also used to improve diagnostic and therapeutic accuracy and the overall clinical treatment process [ 2 ]. If we consider the second block, the red one, three different clusters highlight separate aspects of the topic. The first could be explained as AI and ML predictive algorithms. Through AI applications, it is possible to obtain a predictive approach that can ensure that patients are better monitored. This also allows a better understanding of risk perception for doctors and medical researchers. In the second cluster, the most frequent words are decisions , information system , and support system . This means that AI applications can support doctors and medical researchers in decision-making. Information coming from AI technologies can be used to consider difficult problems and support a more straightforward and rapid decision-making process. In the third cluster, it is vital to highlight that the ML model can deal with vast amounts of data. From those inputs, it can return outcomes that can optimise the work of healthcare organisations and scheduling of medical activities.

Furthermore, the word cloud in Fig.  8 highlights aspects of AI in healthcare, such as decision support systems, decision-making, health services management, learning systems, ML techniques and diseases. The figure depicts how AI is linked to healthcare and how it is used in medicine.

Word cloud.

Figure  9 represents the search trends based on the keywords analysed. The research started in 2012. First, it identified research topics related to clinical decision support systems. This topic was recurrent during the following years. Interestingly, in 2018, studies investigated AI and natural language processes as possible tools to manage patients and administrative elements. Finally, a new research stream considers AI's role in fighting COVID-19 [ 65 , 66 ].

Keywords frequency.

Table  9 represents the number of citations from other articles within the top 20 rankings. The analysis allows the benchmark studies in the field to be identified [ 48 ]. For instance, Burke et al. [ 67 ] writes the most cited paper and analyses efficient nurse rostering methodologies. The paper critically evaluates tangible interdisciplinary solutions that also include AI. Immediately thereafter, Ahmed M.A.'s article proposes a data-driven optimisation methodology to determine the optimal number of healthcare staff to optimise patients' productivity [ 68 ]. Finally, the third most cited article lays the groundwork for developing deep learning by considering diverse health and administrative information [ 51 ].

This section analyses the diffusion of AI in healthcare around the world. It highlights countries to show the geographies of this research. It includes all published articles, the total number of citations, and the collaboration network. The following sub-sections start with an analysis of the total number of published articles.

Country total articles

Figure  9 and Table  10 display the countries where AI in healthcare has been considered. The USA tops the list of countries with the maximum number of articles on the topic (215). It is followed by China (83), the UK (54), India (51), Australia (54), and Canada (32). It is immediately evident that the theme has developed on different continents, highlighting a growing interest in AI in healthcare. The figure shows that many areas, such as Russia, Eastern Europe and Africa except for Algeria, Egypt, and Morocco, have still not engaged in this scientific debate.

Country publications and collaboration map

This section discusses articles on AI in healthcare in terms of single or multiple publications in each country. It also aims to observe collaboration and networking between countries. Table  11 and Fig.  10 highlight the average citations by state and show that the UK, the USA, and Kuwait have a higher average number of citations than other countries. Italy, Spain and New Zealand have the most significant number of citations.

Articles per country.

Figure  11 depicts global collaborations. The blue colour on the map represents research cooperation among nations. Additionally, the pink border linking states indicates the extent of collaboration between authors. The primary cooperation between nations is between the USA and China, with two collaborative articles. Other collaborations among nations are limited to a few papers.

Collaboration map.

Artificial intelligence for healthcare: applications

This section aims to strengthen the research scope by answering RQ3: What are the research applications of artificial intelligence for healthcare?

Benefiting from the topical dendrogram, researchers will provide a development model based on four relevant variables [ 69 , 70 ]. AI has been a disruptive innovation in healthcare [ 4 ]. With its sophisticated algorithms and several applications, AI has assisted doctors and medical professionals in the domains of health information systems, geocoding health data, epidemic and syndromic surveillance, predictive modelling and decision support, and medical imaging [ 2 , 9 , 10 , 64 ]. Furthermore, the researchers considered the bibliometric analysis to identify four macro-variables dominant in the field and used them as authors' keywords. Therefore, the following sub-sections aim to explain the debate on applications in healthcare for AI techniques. These elements are shown in Fig.  12 .

Dominant variables for AI in healthcare.

Health services management

One of the notable aspects of AI techniques is potential support for comprehensive health services management. These applications can support doctors, nurses and administrators in their work. For instance, an AI system can provide health professionals with constant, possibly real-time medical information updates from various sources, including journals, textbooks, and clinical practices [ 2 , 10 ]. These applications' strength is becoming even more critical in the COVID-19 period, during which information exchange is continually needed to properly manage the pandemic worldwide [ 71 ]. Other applications involve coordinating information tools for patients and enabling appropriate inferences for health risk alerts and health outcome prediction [ 72 ]. AI applications allow, for example, hospitals and all health services to work more efficiently for the following reasons:

Clinicians can access data immediately when they need it.

Nurses can ensure better patient safety while administering medication.

Patients can stay informed and engaged in their care by communicating with their medical teams during hospital stays.

Additionally, AI can contribute to optimising logistics processes, for instance, realising drugs and equipment in a just-in-time supply system based totally on predictive algorithms [ 73 , 74 ]. Interesting applications can also support the training of personnel working in health services. This evidence could be helpful in bridging the gap between urban and rural health services [ 75 ]. Finally, health services management could benefit from AI to leverage the multiplicity of data in electronic health records by predicting data heterogeneity across hospitals and outpatient clinics, checking for outliers, performing clinical tests on the data, unifying patient representation, improving future models that can predict diagnostic tests and analyses, and creating transparency with benchmark data for analysing services delivered [ 51 , 76 ].

Predictive medicine

Another relevant topic is AI applications for disease prediction and diagnosis treatment, outcome prediction and prognosis evaluation [ 72 , 77 ]. Because AI can identify meaningful relationships in raw data, it can support diagnostic, treatment and prediction outcomes in many medical situations [ 64 ]. It allows medical professionals to embrace the proactive management of disease onset. Additionally, predictions are possible for identifying risk factors and drivers for each patient to help target healthcare interventions for better outcomes [ 3 ]. AI techniques can also help design and develop new drugs, monitor patients and personalise patient treatment plans [ 78 ]. Doctors benefit from having more time and concise data to make better patient decisions. Automatic learning through AI could disrupt medicine, allowing prediction models to be created for drugs and exams that monitor patients over their whole lives [ 79 ].

• Clinical decision-making

One of the keyword analysis main topics is that AI applications could support doctors and medical researchers in the clinical decision-making process. According to Jiang et al. [ 64 ], AI can help physicians make better clinical decisions or even replace human judgement in healthcare-specific functional areas. According to Bennett and Hauser [ 80 ], algorithms can benefit clinical decisions by accelerating the process and the amount of care provided, positively impacting the cost of health services. Therefore, AI technologies can support medical professionals in their activities and simplify their jobs [ 4 ]. Finally, as Redondo and Sandoval [ 81 ] find, algorithmic platforms can provide virtual assistance to help doctors understand the semantics of language and learning to solve business process queries as a human being would.

Patient data and diagnostics

Another challenging topic related to AI applications is patient data and diagnostics. AI techniques can help medical researchers deal with the vast amount of data from patients (i.e., medical big data ). AI systems can manage data generated from clinical activities, such as screening, diagnosis, and treatment assignment. In this way, health personnel can learn similar subjects and associations between subject features and outcomes of interest [ 64 ].

These technologies can analyse raw data and provide helpful insights that can be used in patient treatments. They can help doctors in the diagnostic process; for example, to realise a high-speed body scan, it will be simpler to have an overall patient condition image. Then, AI technology can recreate a 3D mapping solution of a patient’s body.

In terms of data, interesting research perspectives are emerging. For instance, we observed the emergence of a stream of research on patient data management and protection related to AI applications [ 82 ].

For diagnostics, AI techniques can make a difference in rehabilitation therapy and surgery. Numerous robots have been designed to support and manage such tasks. Rehabilitation robots physically support and guide, for example, a patient’s limb during motor therapy [ 83 ]. For surgery, AI has a vast opportunity to transform surgical robotics through devices that can perform semi-automated surgical tasks with increasing efficiency. The final aim of this technology is to automate procedures to negate human error while maintaining a high level of accuracy and precision [ 84 ]. Finally, the -19 period has led to increased remote patient diagnostics through telemedicine that enables remote observation of patients and provides physicians and nurses with support tools [ 66 , 85 , 86 ].

This study aims to provide a bibliometric analysis of publications on AI in healthcare, focusing on accounting, business and management, decision sciences and health profession studies. Using the SLR method of Massaro et al. [ 11 ], we provide a reliable and replicable research protocol for future studies in this field. Additionally, we investigate the trend of scientific publications on the subject, unexplored information, future directions, and implications using the science mapping workflow. Our analysis provides interesting insights.

In terms of bibliometric variables, the four leading journals, Journal of Medical Systems , Studies in Health Technology and Informatics , IEEE Journal of Biomedical and Health Informatics , and Decision Support Systems , are optimal locations for the publication of scientific articles on this topic. These journals deal mainly with healthcare, medical information systems, and applications such as cloud computing, machine learning, and AI. Additionally, in terms of h-index, Bushko R.G. and Liu C. are the most productive and impactful authors in this research stream. Burke et al.’s [ 67 ] contribution is the most cited with an analysis of nurse rostering using new technologies such as AI. Finally, in terms of keywords, co-occurrence reveals some interesting insights. For instance, researchers have found that AI has a role in diagnostic accuracy and helps in the analysis of health data by comparing thousands of medical records, experiencing automatic learning with clinical alerts, efficient management of health services and places of care, and the possibility of reconstructing patient history using these data.

Second, this paper finds five cluster analyses in healthcare applications: health services management, predictive medicine, patient data, diagnostics, and finally, clinical decision-making. These technologies can also contribute to optimising logistics processes in health services and allowing a better allocation of resources.

Third, the authors analysing the research findings and the issues under discussion strongly support AI's role in decision support. These applications, however, are demonstrated by creating a direct link to data quality management and the technology awareness of health personnel [ 87 ].

The importance of data quality for the decision-making process

Several authors have analysed AI in the healthcare research stream, but in this case, the authors focus on other literature that includes business and decision-making processes. In this regard, the analysis of the search flow reveals a double view of the literature. On the one hand, some contributions belong to the positivist literature and embrace future applications and implications of technology for health service management, data analysis and diagnostics [ 6 , 80 , 88 ]. On the other hand, some investigations also aim to understand the darker sides of technology and its impact. For example, as Carter [ 89 ] states, the impact of AI is multi-sectoral; its development, however, calls for action to protect personal data. Similarly, Davenport and Kalakota [ 77 ] focus on the ethical implications of using AI in healthcare. According to the authors, intelligent machines raise issues of accountability, transparency, and permission, especially in automated communication with patients. Our analysis does not indicate a marked strand of the literature; therefore, we argue that the discussion of elements such as the transparency of technology for patients is essential for the development of AI applications.

A large part of our results shows that, at the application level, AI can be used to improve medical support for patients (Fig.  11 ) [ 64 , 82 ]. However, we believe that, as indicated by Kalis et al. [ 90 ] on the pages of Harvard Business Review, the management of costly back-office problems should also be addressed.

The potential of algorithms includes data analysis. There is an immense quantity of data accessible now, which carries the possibility of providing information about a wide variety of medical and healthcare activities [ 91 ]. With the advent of modern computational methods, computer learning and AI techniques, there are numerous possibilities [ 79 , 83 , 84 ]. For example, AI makes it easier to turn data into concrete and actionable observations to improve decision-making, deliver high-quality patient treatment, adapt to real-time emergencies, and save more lives on the clinical front. In addition, AI makes it easier to leverage capital to develop systems and facilities and reduce expenses at the organisational level [ 78 ]. Studying contributions to the topic, we noticed that data accuracy was included in the debate, indicating that a high standard of data will benefit decision-making practitioners [ 38 , 77 ]. AI techniques are an essential instrument for studying data and the extraction of medical insight, and they may assist medical researchers in their practices. Using computational tools, healthcare stakeholders may leverage the power of data not only to evaluate past data ( descriptive analytics ) but also to forecast potential outcomes ( predictive analytics ) and to define the best actions for the present scenario ( prescriptive analytics ) [ 78 ]. The current abundance of evidence makes it easier to provide a broad view of patient health; doctors should have access to the correct details at the right time and location to provide the proper treatment [ 92 ].

Will medical technology de-skill doctors?

Further reflection concerns the skills of doctors. Studies have shown that healthcare personnel are progressively being exposed to technology for different purposes, such as collecting patient records or diagnosis [ 71 ]. This is demonstrated by the keywords (Fig.  6 ) that focus on technology and the role of decision-making with new innovative tools. In addition, the discussion expands with Lu [ 93 ], which indicates that the excessive use of technology could hinder doctors’ skills and clinical procedures' expansion. Among the main issues arising from the literature is the possible de-skilling of healthcare staff due to reduced autonomy in decision-making concerning patients [ 94 ]. Therefore, the challenges and discussion we uncovered in Fig.  11 are expanded by also considering the ethical implications of technology and the role of skills.

Implications

Our analysis also has multiple theoretical and practical implications.

In terms of theoretical contribution, this paper extends the previous results of Connelly et al., dos Santos et al, Hao et al., Huang et al., Liao et al. and Tran et al. [ 2 , 19 , 20 , 21 , 22 , 24 ] in considering AI in terms of clinical decision-making and data management quality.

In terms of practical implications, this paper aims to create a fruitful discussion with healthcare professionals and administrative staff on how AI can be at their service to increase work quality. Furthermore, this investigation offers a broad comprehension of bibliometric variables of AI techniques in healthcare. It can contribute to advancing scientific research in this field.

Limitations

Like any other, our study has some limitations that could be addressed by more in-depth future studies. For example, using only one research database, such as Scopus, could be limiting. Further analysis could also investigate the PubMed, IEEE, and Web of Science databases individually and holistically, especially the health parts. Then, the use of search terms such as "Artificial Intelligence" OR "AI" AND "Healthcare" could be too general and exclude interesting studies. Moreover, although we analysed 288 peer-reviewed scientific papers, because the new research topic is new, the analysis of conference papers could return interesting results for future researchers. Additionally, as this is a young research area, the analysis will be subject to recurrent obsolescence as multiple new research investigations are published. Finally, although bibliometric analysis has limited the subjectivity of the analysis [ 15 ], the verification of recurring themes could lead to different results by indicating areas of significant interest not listed here.

Future research avenues

Concerning future research perspectives, researchers believe that an analysis of the overall amount that a healthcare organisation should pay for AI technologies could be helpful. If these technologies are essential for health services management and patient treatment, governments should invest and contribute to healthcare organisations' modernisation. New investment funds could be made available in the healthcare world, as in the European case with the Next Generation EU programme or national investment programmes [ 95 ]. Additionally, this should happen especially in the poorest countries around the world, where there is a lack of infrastructure and services related to health and medicine [ 96 ]. On the other hand, it might be interesting to evaluate additional profits generated by healthcare organisations with AI technologies compared to those that do not use such technologies.

Further analysis could also identify why some parts of the world have not conducted studies in this area. It would be helpful to carry out a comparative analysis between countries active in this research field and countries that are not currently involved. It would make it possible to identify variables affecting AI technologies' presence or absence in healthcare organisations. The results of collaboration between countries also present future researchers with the challenge of greater exchanges between researchers and professionals. Therefore, further research could investigate the difference in vision between professionals and academics.

In the accounting, business, and management research area, there is currently a lack of quantitative analysis of the costs and profits generated by healthcare organisations that use AI technologies. Therefore, research in this direction could further increase our understanding of the topic and the number of healthcare organisations that can access technologies based on AI. Finally, as suggested in the discussion section, more interdisciplinary studies are needed to strengthen AI links with data quality management and AI and ethics considerations in healthcare.

In pursuing the philosophy of Massaro et al.’s [ 11 ] methodological article, we have climbed on the shoulders of giants, hoping to provide a bird's-eye view of the AI literature in healthcare. We performed this study with a bibliometric analysis aimed at discovering authors, countries of publication and collaboration, and keywords and themes. We found a fast-growing, multi-disciplinary stream of research that is attracting an increasing number of authors.

The research, therefore, adopts a quantitative approach to the analysis of bibliometric variables and a qualitative approach to the study of recurring keywords, which has allowed us to demonstrate strands of literature that are not purely positive. There are currently some limitations that will affect future research potential, especially in ethics, data governance and the competencies of the health workforce.

Availability of data and materials

All the data are retrieved from public scientific platforms.

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Secinaro, S., Calandra, D., Secinaro, A. et al. The role of artificial intelligence in healthcare: a structured literature review. BMC Med Inform Decis Mak 21 , 125 (2021). https://doi.org/10.1186/s12911-021-01488-9

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Healthcare Thesis Statement: Examples of Universal Healthcare Pros and Cons

• To find inspiration for your paper and overcome writer’s block
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Every citizen of every country in the world should be provided with free and high-quality medical services. Health care is a fundamental need for every human, regardless of age, gender, ethnicity, religion, and socioeconomic status.

Universal health care is the provision of healthcare services by a government to all its citizens (insurancespecialists.com). This means each citizen can access medical services of standard quality. In the United States, about 25% of its citizens are provided with healthcare funded by the government. These citizens mainly comprise the elderly, the armed forces personnel, and the poor (insurancespecialists.com).

Introduction

Thesis statement.

• Universal Healthcare Pros
• Universal Healthcare Cons

Works Cited

In Russia, Canada, and some South American and European countries, the governments provide universal healthcare programs to all citizens. In the United States, the segments of society which do not receive health care services provided by the government usually pay for their health care coverage. This has emerged as a challenge, especially for middle-class citizens. Therefore, the universal health care provision in the United States is debatable: some support it, and some oppose it. This assignment is a discussion of the topic. It starts with a thesis statement, then discusses the advantages of universal health care provision, its disadvantages, and a conclusion, which restates the thesis and the argument behind it.

The government of the United States of America should provide universal health care services to its citizens because health care is a basic necessity to every citizen, regardless of age, gender, ethnicity, religion, and socioeconomic status.

Universal Healthcare Provision Pros

The provision of universal health care services would ensure that doctors and all medical practitioners focus their attention only on treating the patients, unlike in the current system, where doctors and medical practitioners sped a lot of time pursuing issues of health care insurance for their patients, which is sometimes associated with malpractice and violation of medical ethics especially in cases where the patient is unable to adequately pay for his or her health care bills (balancedpolitics.org).

The provision of universal health care services would also make health care service provision in the United States more efficient and effective. In the current system in which each citizen pays for his or her health care, there is a lot of inefficiency, brought about by the bureaucratic nature of the public health care sector (balancedpolitics.org).

Universal health care would also promote preventive health care, which is crucial in reducing deaths as well as illness deterioration. The current health care system in the United States is prohibitive of preventive health care, which makes many citizens to wait until their illness reach critical conditions due to the high costs of going for general medical check-ups. The cost of treating patients with advanced illnesses is not only expensive to the patients and the government but also leads to deaths which are preventable (balancedpolitics.org).

The provision of universal health care services would be a worthy undertaking, especially due to the increased number of uninsured citizens, which currently stands at about 45 million (balancedpolitics.org).

The provision of universal health care services would therefore promote access to health care services to as many citizens as possible, which would reduce suffering and deaths of citizens who cannot cater for their health insurance. As I mentioned in the thesis, health care is a basic necessity to all citizens and therefore providing health care services to all would reduce inequality in the service access.

Universal health care would also come at a time when health care has become seemingly unaffordable for many middle income level citizens and business men in the United States. This has created a nation of inequality, which is unfair because every citizen pays tax, which should be used by the government to provide affordable basic services like health care. It should be mentioned here that the primary role of any government is to protect its citizens, among other things, from illness and disease (Shi and Singh 188).

Lastly not the least, the provision of universal health care in the United States would work for the benefit of the country and especially the doctors because it would create a centralized information centre, with database of all cases of illnesses, diseases and their occurrence and frequency. This would make it easier to diagnose patients, especially to identify any new strain of a disease, which would further help in coming up with adequate medication for such new illness or disease (balancedpolitics.org).

Universal Healthcare Provision Cons

One argument against the provision of universal health care in the United States is that such a policy would require enormous spending in terms of taxes to cater for the services in a universal manner. Since health care does not generate extra revenue, it would mean that the government would either be forced to cut budgetary allocations for other crucial sectors of general public concern like defense and education, or increase the taxes levied on the citizens, thus becoming an extra burden to the same citizens (balancedpolitics.org).

Another argument against the provision of universal health care services is that health care provision is a complex undertaking, involving varying interests, likes and preferences.

The argument that providing universal health care would do away with the bureaucratic inefficiency does not seem to be realistic because centralizing the health care sector would actually increase the bureaucracy, leading to further inefficiencies, especially due to the enormous number of clientele to be served. Furthermore, it would lead to lose of business for the insurance providers as well as the private health care practitioners, majority of whom serve the middle income citizens (balancedpolitics.org).

Arguably, the debate for the provision of universal health care can be seen as addressing a problem which is either not present, or negligible. This is because there are adequate options for each citizen to access health care services. Apart from the government hospitals, the private hospitals funded by non-governmental organizations provide health care to those citizens who are not under any medical cover (balancedpolitics.org).

Universal health care provision would lead to corruption and rent seeking behavior among policy makers. Since the services would be for all, and may sometimes be limited, corruption may set in making the medical practitioners even more corrupt than they are because of increased demand of the services. This may further lead to deterioration of the very health care sector the policy would be aiming at boosting through such a policy.

The provision of universal health care would limit the freedom of the US citizens to choose which health care program is best for them. It is important to underscore that the United States, being a capitalist economy is composed of people of varying financial abilities.

The provision of universal health care would therefore lower the patients’ flexibility in terms of how, when and where to access health care services and why. This is because such a policy would throw many private practitioners out of business, thus forcing virtually all citizens to fit in the governments’ health care program, which may not be good for everyone (Niles 293).

Lastly not the least, the provision of universal health care would be unfair to those citizens who live healthy lifestyles so as to avoid lifestyle diseases like obesity and lung cancer, which are very common in America. Many of the people suffering from obesity suffer due to their negligence or ignorance of health care advice provided by the government and other health care providers. Such a policy would therefore seem to unfairly punish those citizens who practice good health lifestyles, at the expense of the ignorant (Niles 293).

After discussing the pros and cons of universal health care provision in the United States, I restate my thesis that “The government of United States of America should provide universal health care to its citizens because health care is a basic necessity to every citizen, regardless of age, sex, race, religion, and socio economic status”, and argue that even though there are arguments against the provision of universal health care, such arguments, though valid, are not based on the guiding principle of that health care is a basic necessity to all citizens of the United States.

The arguments are also based on capitalistic way of thinking, which is not sensitive to the plight of many citizens who are not able to pay for their insurance health care cover.

The idea of providing universal health care to Americans would therefore save many deaths and unnecessary suffering by many citizens. Equally important to mention is the fact that such a policy may be described as a win win policy both for the rich and the poor or middle class citizens because it would not in any way negatively affect the rich, because as long as they have money, they would still be able to customize their health care through the employment family or personal doctors as the poor and the middle class go for the universal health care services.

Balanced politics. “Should the Government Provide Free Universal Health Care for All Americans?” Balanced politics: universal health . Web. Balanced politics.org. 8 august https://www.balancedpolitics.org/universal_health_care.htm

Insurance specialists. “Growing Support for Universal Health Care”. Insurance information portal. Web. Insurance specialists.com 8 august 2011. https://insurancespecialists.com/

Niles, Nancy. Basics of the U.S. Health Care System . Sudbury, MA: Jones & Bartlett Learning, 2010:293. Print.

Shi, Leiyu and Singh, Douglas. Delivering Health Care in America: A Systems Approach . Sudbury, MA: Jones & Bartlett Learning, 2004:188. Print.

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IvyPanda. (2018, October 11). Healthcare Thesis Statement: Examples of Universal Healthcare Pros and Cons. https://ivypanda.com/essays/pros-and-cons-of-universal-health-care-provision-in-the-united-states/

"Healthcare Thesis Statement: Examples of Universal Healthcare Pros and Cons." IvyPanda , 11 Oct. 2018, ivypanda.com/essays/pros-and-cons-of-universal-health-care-provision-in-the-united-states/.

IvyPanda . (2018) 'Healthcare Thesis Statement: Examples of Universal Healthcare Pros and Cons'. 11 October.

IvyPanda . 2018. "Healthcare Thesis Statement: Examples of Universal Healthcare Pros and Cons." October 11, 2018. https://ivypanda.com/essays/pros-and-cons-of-universal-health-care-provision-in-the-united-states/.

1. IvyPanda . "Healthcare Thesis Statement: Examples of Universal Healthcare Pros and Cons." October 11, 2018. https://ivypanda.com/essays/pros-and-cons-of-universal-health-care-provision-in-the-united-states/.

Bibliography

IvyPanda . "Healthcare Thesis Statement: Examples of Universal Healthcare Pros and Cons." October 11, 2018. https://ivypanda.com/essays/pros-and-cons-of-universal-health-care-provision-in-the-united-states/.

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Health Thesis Statemen

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Navigating the intricate landscape of health topics requires a well-structured thesis statement to anchor your essay. Whether delving into public health policies or examining medical advancements, crafting a compelling health thesis statement is crucial. This guide delves into exemplary health thesis statement examples, providing insights into their composition. Additionally, it offers practical tips on constructing powerful statements that not only capture the essence of your research but also engage readers from the outset.

What is the Health Thesis Statement? – Definition

A health thesis statement is a concise declaration that outlines the main argument or purpose of an essay or research paper thesis statement focused on health-related topics. It serves as a roadmap for the reader, indicating the central idea that the paper will explore, discuss, or analyze within the realm of health, medicine, wellness, or related fields.

What is an Example of a Medical/Health Thesis Statement?

Example: “The implementation of comprehensive public health campaigns is imperative in curbing the escalating rates of obesity and promoting healthier lifestyle choices among children and adolescents.”

In this example, the final thesis statement succinctly highlights the importance of public health initiatives as a means to address a specific health issue (obesity) and advocate for healthier behaviors among a targeted demographic (children and adolescents).

100 Health Thesis Statement Examples

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Discover a comprehensive collection of 100 distinct health thesis statement examples across various healthcare realms. From telemedicine’s impact on accessibility to genetic research’s potential for personalized medicine, delve into obesity, mental health, antibiotic resistance, opioid epidemic solutions, and more. Explore these examples that shed light on pressing health concerns, innovative strategies, and crucial policy considerations. You may also be interested to browse through our other  speech thesis statement .

• Childhood Obesity : “Effective school-based nutrition programs are pivotal in combating childhood obesity, fostering healthy habits, and reducing the risk of long-term health complications.”
• Mental Health Stigma : “Raising awareness through media campaigns and educational initiatives is paramount in eradicating mental health stigma, promoting early intervention, and improving overall well-being.”
• Universal Healthcare : “The implementation of universal healthcare systems positively impacts population health, ensuring access to necessary medical services for all citizens.”
• Elderly Care : “Creating comprehensive elderly care programs that encompass medical, social, and emotional support enhances the quality of life for aging populations.”
• Cancer Research : “Increased funding and collaboration in cancer research expedite advancements in treatment options and improve survival rates for patients.”
• Maternal Health : “Elevating maternal health through accessible prenatal care, education, and support systems reduces maternal mortality rates and improves neonatal outcomes.”
• Vaccination Policies : “Mandatory vaccination policies safeguard public health by curbing preventable diseases and maintaining herd immunity.”
• Epidemic Preparedness : “Developing robust epidemic preparedness plans and international cooperation mechanisms is crucial for timely responses to emerging health threats.”
• Access to Medications : “Ensuring equitable access to essential medications, especially in low-income regions, is pivotal for preventing unnecessary deaths and improving overall health outcomes.”
• Healthy Lifestyle Promotion : “Educational campaigns promoting exercise, balanced nutrition, and stress management play a key role in fostering healthier lifestyles and preventing chronic diseases.”
• Health Disparities : “Addressing health disparities through community-based interventions and equitable healthcare access contributes to a fairer distribution of health resources.”
• Elderly Mental Health : “Prioritizing mental health services for the elderly population reduces depression, anxiety, and cognitive decline, enhancing their overall quality of life.”
• Genetic Counseling : “Accessible genetic counseling services empower individuals to make informed decisions about their health, family planning, and potential genetic risks.”
• Substance Abuse Treatment : “Expanding availability and affordability of substance abuse treatment facilities and programs is pivotal in combating addiction and reducing its societal impact.”
• Patient Empowerment : “Empowering patients through health literacy initiatives fosters informed decision-making, improving treatment adherence and overall health outcomes.”
• Environmental Health : “Implementing stricter environmental regulations reduces exposure to pollutants, protecting public health and mitigating the risk of respiratory illnesses.”
• Digital Health Records : “The widespread adoption of digital health records streamlines patient information management, enhancing communication among healthcare providers and improving patient care.”
• Healthy Aging : “Promoting active lifestyles, social engagement, and cognitive stimulation among the elderly population contributes to healthier aging and reduced age-related health issues.”
• Telehealth Ethics : “Ethical considerations in telehealth services include patient privacy, data security, and maintaining the quality of remote medical consultations.”
• Public Health Campaigns : “Strategically designed public health campaigns raise awareness about prevalent health issues, motivating individuals to adopt healthier behaviors and seek preventive care.”
• Nutrition Education : “Integrating nutrition education into school curricula equips students with essential dietary knowledge, reducing the risk of nutrition-related health problems.”
• Healthcare Infrastructure : “Investments in healthcare infrastructure, including medical facilities and trained personnel, enhance healthcare access and quality, particularly in underserved regions.”
• Mental Health Support in Schools : “Introducing comprehensive mental health support systems in schools nurtures emotional well-being, reduces academic stress, and promotes healthy student development.”
• Antibiotic Stewardship : “Implementing antibiotic stewardship programs in healthcare facilities preserves the effectiveness of antibiotics, curbing the rise of antibiotic-resistant infections.”
• Health Education in Rural Areas : “Expanding health education initiatives in rural communities bridges the information gap, enabling residents to make informed health choices.”
• Global Health Initiatives : “International collaboration on global health initiatives bolsters disease surveillance, preparedness, and response to protect global populations from health threats.”
• Access to Clean Water : “Ensuring access to clean water and sanitation facilities improves public health by preventing waterborne diseases and enhancing overall hygiene.”
• Telemedicine and Mental Health : “Leveraging telemedicine for mental health services increases access to therapy and counseling, particularly for individuals in remote areas.”
• Chronic Disease Management : “Comprehensive chronic disease management programs enhance patients’ quality of life by providing personalized care plans and consistent medical support.”
• Healthcare Workforce Diversity : “Promoting diversity within the healthcare workforce enhances cultural competence, patient-provider communication, and overall healthcare quality.”
• Community Health Centers : “Establishing community health centers in underserved neighborhoods ensures accessible primary care services, reducing health disparities and emergency room utilization.”
• Youth Health Education : “Incorporating comprehensive health education in schools equips young people with knowledge about reproductive health, substance abuse prevention, and mental well-being.”
• Dietary Guidelines : “Implementing evidence-based dietary guidelines and promoting healthy eating habits contribute to reducing obesity rates and preventing chronic diseases.”
• Healthcare Innovation : “Investing in healthcare innovation, such as telemedicine platforms and wearable health technologies, transforms patient care delivery and monitoring.”
• Pandemic Preparedness : “Effective pandemic preparedness plans involve cross-sector coordination, rapid response strategies, and transparent communication to protect global health security.”
• Maternal and Child Nutrition : “Prioritizing maternal and child nutrition through government programs and community initiatives leads to healthier pregnancies and better child development.”
• Health Literacy : “Improving health literacy through accessible health information and education empowers individuals to make informed decisions about their well-being.”
• Medical Research Funding : “Increased funding for medical research accelerates scientific discoveries, leading to breakthroughs in treatments and advancements in healthcare.”
• Reproductive Health Services : “Accessible reproductive health services, including family planning and maternal care, improve women’s health outcomes and support family well-being.”
• Obesity Prevention in Schools : “Introducing physical activity programs and nutritional education in schools prevents childhood obesity, laying the foundation for healthier lifestyles.”
• Global Vaccine Distribution : “Ensuring equitable global vaccine distribution addresses health disparities, protects vulnerable populations, and fosters international cooperation.”
• Healthcare Ethics : “Ethical considerations in healthcare decision-making encompass patient autonomy, informed consent, and equitable resource allocation.”
• Aging-in-Place Initiatives : “Aging-in-place programs that provide home modifications and community support enable elderly individuals to maintain independence and well-being.”
• E-Health Records Privacy : “Balancing the benefits of electronic health records with patients’ privacy concerns necessitates robust data security measures and patient consent protocols.”
• Tobacco Control : “Comprehensive tobacco control measures, including high taxation and anti-smoking campaigns, reduce tobacco consumption and related health risks.”
• Epidemiological Studies : “Conducting rigorous epidemiological studies informs public health policies, identifies risk factors, and guides disease prevention strategies.”
• Organ Transplant Policies : “Ethical organ transplant policies prioritize equitable organ allocation, ensuring fair access to life-saving treatments.”
• Workplace Wellness Programs : “Implementing workplace wellness programs promotes employee health, reduces absenteeism, and enhances productivity.”
• Emergency Medical Services : “Strengthening emergency medical services infrastructure ensures timely responses to medical crises, saving lives and reducing complications.”
• Healthcare Access for Undocumented Immigrants : “Expanding healthcare access for undocumented immigrants improves overall community health and prevents communicable disease outbreaks.”
• Primary Care Shortage Solutions : “Addressing primary care shortages through incentives for healthcare professionals and expanded training programs enhances access to basic medical services.”
• Patient-Centered Care : “Prioritizing patient-centered care emphasizes communication, shared decision-making, and respecting patients’ preferences in medical treatments.”
• Nutrition Labels Impact : “The effectiveness of clear and informative nutrition labels on packaged foods contributes to healthier dietary choices and reduced obesity rates.”
• Stress Management Strategies : “Promoting stress management techniques, such as mindfulness and relaxation, improves mental health and reduces the risk of stress-related illnesses.”
• Access to Reproductive Health Education : “Ensuring access to comprehensive reproductive health education empowers individuals to make informed decisions about their sexual and reproductive well-being.”
• Medical Waste Management : “Effective medical waste management practices protect both public health and the environment by preventing contamination and pollution.”
• Preventive Dental Care : “Prioritizing preventive dental care through community programs and education reduces oral health issues and associated healthcare costs.”
• Pharmaceutical Pricing Reform : “Addressing pharmaceutical pricing reform enhances medication affordability and ensures access to life-saving treatments for all.”
• Community Health Worker Role : “Empowering community health workers to provide education, support, and basic medical services improves healthcare access in underserved areas.”
• Healthcare Technology Adoption : “Adopting innovative healthcare technologies, such as AI-assisted diagnostics, enhances accuracy, efficiency, and patient outcomes in medical practices.”
• Elderly Falls Prevention : “Implementing falls prevention programs for the elderly population reduces injuries, hospitalizations, and healthcare costs, enhancing their overall well-being.”
• Healthcare Data Privacy Laws : “Stricter healthcare data privacy laws protect patients’ sensitive information, maintaining their trust and promoting transparent data management practices.”
• School Health Clinics : “Establishing health clinics in schools provides easy access to medical services for students, promoting early detection and timely treatment of health issues.”
• Healthcare Cultural Competence : “Cultivating cultural competence among healthcare professionals improves patient-provider communication, enhances trust, and reduces healthcare disparities.”
• Health Equity in Clinical Trials : “Ensuring health equity in clinical trials by diverse participant representation enhances the generalizability of research findings to different populations.”
• Digital Mental Health Interventions : “Utilizing digital mental health interventions, such as therapy apps, expands access to mental health services and reduces stigma surrounding seeking help.”
• Aging and Neurodegenerative Diseases : “Exploring the connection between aging and neurodegenerative diseases informs early interventions and treatment strategies to mitigate cognitive decline.”
• Healthcare Waste Reduction : “Implementing sustainable healthcare waste reduction measures decreases environmental impact and contributes to a greener healthcare industry.”
• Medical Ethics in End-of-Life Care : “Ethical considerations in end-of-life care decision-making ensure patient autonomy, quality of life, and respectful treatment choices.”
• Healthcare Interoperability : “Enhancing healthcare data interoperability between different medical systems and providers improves patient care coordination and information sharing.”
• Healthcare Disparities in Indigenous Communities : “Addressing healthcare disparities in Indigenous communities through culturally sensitive care and community engagement improves health outcomes.”
• Music Therapy in Healthcare : “Exploring the role of music therapy in healthcare settings reveals its positive effects on reducing pain, anxiety, and enhancing emotional well-being.”
• Healthcare Waste Management Policies : “Effective healthcare waste management policies regulate the disposal of medical waste, protecting both public health and the environment.”
• Agricultural Practices and Public Health : “Analyzing the impact of agricultural practices on public health highlights the connections between food production, environmental health, and nutrition.”
• Online Health Information Reliability : “Promoting the reliability of online health information through credible sources and fact-checking guides empowers individuals to make informed health decisions.”
• Neonatal Intensive Care : “Advancements in neonatal intensive care technology enhance premature infants’ chances of survival and long-term health.”
• Fitness Technology : “The integration of fitness technology in daily routines motivates individuals to engage in physical activity, promoting better cardiovascular health.”
• Climate Change and Health : “Examining the health effects of climate change emphasizes the need for mitigation strategies to protect communities from heat-related illnesses, vector-borne diseases, and other climate-related health risks.”
• Healthcare Cybersecurity : “Robust cybersecurity measures in healthcare systems safeguard patient data and protect against cyberattacks that can compromise medical records.”
• Healthcare Quality Metrics : “Evaluating healthcare quality through metrics such as patient satisfaction, outcomes, and safety indicators informs continuous improvement efforts in medical facilities.”
• Maternal Health Disparities : “Addressing maternal health disparities among different racial and socioeconomic groups through accessible prenatal care and support reduces maternal mortality rates.”
• Disaster Preparedness : “Effective disaster preparedness plans in healthcare facilities ensure timely responses during emergencies, minimizing casualties and maintaining patient care.”
• Sleep Health : “Promoting sleep health education emphasizes the importance of quality sleep in overall well-being, preventing sleep-related disorders and associated health issues.”
• Healthcare AI Ethics : “Navigating the ethical implications of using artificial intelligence in healthcare, such as diagnosis algorithms, safeguards patient privacy and accuracy.”
• Pediatric Nutrition : “Prioritizing pediatric nutrition education encourages healthy eating habits from a young age, reducing the risk of childhood obesity and related health concerns.”
• Mental Health in First Responders : “Providing mental health support for first responders acknowledges the psychological toll of their work, preventing burnout and trauma-related issues.”
• Healthcare Workforce Burnout : “Addressing healthcare workforce burnout through organizational support, manageable workloads, and mental health resources improves patient care quality.”
• Vaccine Hesitancy : “Effective strategies to address vaccine hesitancy involve transparent communication, education, and addressing concerns to maintain vaccination rates and community immunity.”
• Climate-Resilient Healthcare Facilities : “Designing climate-resilient healthcare facilities prepares medical centers to withstand extreme weather events and ensure continuous patient care.”
• Nutrition in Aging : “Emphasizing balanced nutrition among the elderly population supports healthy aging, preventing malnutrition-related health complications.”
• Medication Adherence Strategies : “Implementing medication adherence strategies, such as reminder systems and simplified regimens, improves treatment outcomes and reduces hospitalizations.”
• Crisis Intervention : “Effective crisis intervention strategies in mental health care prevent escalations, promote de-escalation techniques, and improve patient safety.”
• Healthcare Waste Recycling : “Promoting healthcare waste recycling initiatives reduces landfill waste, conserves resources, and minimizes the environmental impact of medical facilities.”
• Healthcare Financial Accessibility : “Strategies to enhance healthcare financial accessibility, such as sliding scale fees and insurance coverage expansion, ensure equitable care for all.”
• Palliative Care : “Prioritizing palliative care services improves patients’ quality of life by addressing pain management, symptom relief, and emotional support.”
• Healthcare and Artificial Intelligence : “Exploring the integration of artificial intelligence in diagnostics and treatment planning enhances medical accuracy and reduces human error.”
• Personalized Medicine : “Advancements in personalized medicine tailor treatments based on individual genetics and characteristics, leading to more precise and effective healthcare.”
• Patient Advocacy : “Empowering patients through education and advocacy training enables them to navigate the healthcare system and actively participate in their treatment decisions.”
• Healthcare Waste Reduction : “Promoting the reduction of healthcare waste through sustainable practices and responsible disposal methods minimizes environmental and health risks.”
• Complementary and Alternative Medicine : “Examining the efficacy and safety of complementary and alternative medicine approaches provides insights into their potential role in enhancing overall health and well-being.”

Thesis Statement Examples for Physical Health

Discover 10 unique good thesis statement examples that delve into physical health, from the impact of fitness technology on exercise motivation to the importance of nutrition education in preventing chronic illnesses. Explore these examples shedding light on the pivotal role of physical well-being in disease prevention and overall quality of life.

• Fitness Technology’s Influence : “The integration of fitness technology like wearable devices enhances physical health by fostering exercise adherence, tracking progress, and promoting active lifestyles.”
• Nutrition Education’s Role : “Incorporating comprehensive nutrition education in schools equips students with essential dietary knowledge, reducing the risk of nutrition-related health issues.”
• Active Lifestyle Promotion : “Public spaces and urban planning strategies that encourage physical activity contribute to community health and well-being, reducing sedentary behavior.”
• Sports Injuries Prevention : “Strategic implementation of sports injury prevention programs and adequate athlete conditioning minimizes the incidence of sports-related injuries, preserving physical well-being.”
• Physical Health in Workplace : “Prioritizing ergonomic design and promoting workplace physical activity positively impact employees’ physical health, reducing musculoskeletal issues and stress-related ailments.”
• Childhood Obesity Mitigation : “School-based interventions, including physical education and health education, play a pivotal role in mitigating childhood obesity and promoting lifelong physical health.”
• Outdoor Activity and Wellness : “Unstructured outdoor play, especially in natural settings, fosters children’s physical health, cognitive development, and emotional well-being.”
• Senior Nutrition and Mobility : “Tailored nutrition plans and physical activity interventions for seniors support physical health, mobility, and independence during the aging process.”
• Health Benefits of Active Commuting : “Promotion of active commuting modes such as walking and cycling improves cardiovascular health, reduces pollution, and enhances overall well-being.”
• Physical Health’s Longevity Impact : “Sustaining physical health through regular exercise, balanced nutrition, and preventive measures positively influences longevity, ensuring a higher quality of life.”

Thesis Statement Examples for Health Protocols

Explore 10 thesis statement examples that highlight the significance of health protocols, encompassing infection control in medical settings to the ethical guidelines for telemedicine practices. These examples underscore the pivotal role of health protocols in ensuring patient safety, maintaining effective healthcare practices, and preventing the spread of illnesses across various contexts.  You should also take a look at our  thesis statement for report .

• Infection Control and Patient Safety : “Rigorous infection control protocols in healthcare settings are paramount to patient safety, curbing healthcare-associated infections and maintaining quality care standards.”
• Evidence-Based Treatment Guidelines : “Adhering to evidence-based treatment guidelines enhances medical decision-making, improves patient outcomes, and promotes standardized, effective healthcare practices.”
• Ethics in Telemedicine : “Establishing ethical guidelines for telemedicine practices is crucial to ensure patient confidentiality, quality of care, and responsible remote medical consultations.”
• Emergency Response Preparedness : “Effective emergency response protocols in healthcare facilities ensure timely and coordinated actions, optimizing patient care, and minimizing potential harm.”
• Clinical Trial Integrity : “Stringent adherence to health protocols in clinical trials preserves data integrity, ensures participant safety, and upholds ethical principles in medical research.”
• Safety in Daycare Settings : “Implementing robust infection prevention protocols in daycare settings is vital to curb disease transmission, safeguarding the health of children and staff.”
• Privacy and E-Health : “Upholding stringent patient privacy protocols in electronic health records is paramount for data security, fostering trust, and maintaining confidentiality.”
• Hand Hygiene and Infection Prevention : “Promoting proper hand hygiene protocols among healthcare providers significantly reduces infection transmission risks, protecting both patients and medical personnel.”
• Food Safety in Restaurants : “Strict adherence to comprehensive food safety protocols within the restaurant industry is essential to prevent foodborne illnesses and ensure public health.”
• Pandemic Preparedness and Response : “Developing robust pandemic preparedness protocols, encompassing risk assessment and response strategies, is essential to effectively manage disease outbreaks and protect public health.”

Thesis Statement Examples on Health Benefits

Uncover 10 illuminating thesis statement examples exploring the diverse spectrum of health benefits, from the positive impact of green spaces on mental well-being to the advantages of mindfulness practices in stress reduction. Delve into these examples that underscore the profound influence of health-promoting activities on overall physical, mental, and emotional well-being.

• Nature’s Impact on Mental Health : “The presence of green spaces in urban environments positively influences mental health by reducing stress, enhancing mood, and fostering relaxation.”
• Mindfulness for Stress Reduction : “Incorporating mindfulness practices into daily routines promotes mental clarity, reduces stress, and improves overall emotional well-being.”
• Social Interaction’s Role : “Engaging in regular social interactions and fostering strong social connections contributes to mental well-being, combating feelings of loneliness and isolation.”
• Physical Activity’s Cognitive Benefits : “Participation in regular physical activity enhances cognitive function, memory retention, and overall brain health, promoting lifelong mental well-being.”
• Positive Effects of Laughter : “Laughter’s physiological and psychological benefits, including stress reduction and improved mood, have a direct impact on overall mental well-being.”
• Nutrition’s Impact on Mood : “Balanced nutrition and consumption of mood-enhancing nutrients play a pivotal role in regulating mood and promoting positive mental health.”
• Creative Expression and Emotional Well-Being : “Engaging in creative activities, such as art and music, provides an outlet for emotional expression and fosters psychological well-being.”
• Cultural Engagement’s Influence : “Participating in cultural and artistic activities enriches emotional well-being, promoting a sense of identity, belonging, and purpose.”
• Volunteering and Mental Health : “Volunteering contributes to improved mental well-being by fostering a sense of purpose, social connection, and positive self-esteem.”
• Emotional Benefits of Pet Ownership : “The companionship of pets provides emotional support, reduces stress, and positively impacts overall mental well-being.”

Thesis Statement Examples on Mental Health

Explore 10 thought-provoking thesis statement examples delving into various facets of mental health, from addressing stigma surrounding mental illnesses to advocating for increased mental health support in schools. These examples shed light on the importance of understanding, promoting, and prioritizing mental health to achieve holistic well-being.

• Stigma Reduction for Mental Health : “Challenging societal stigma surrounding mental health encourages open dialogue, fostering acceptance, and creating a supportive environment for individuals seeking help.”
• Mental Health Education in Schools : “Incorporating comprehensive mental health education in school curricula equips students with emotional coping skills, destigmatizes mental health discussions, and supports overall well-being.”
• Mental Health Awareness Campaigns : “Strategically designed mental health awareness campaigns raise public consciousness, reduce stigma, and promote early intervention and access to support.”
• Workplace Mental Health Initiatives : “Implementing workplace mental health programs, including stress management and emotional support, enhances employee well-being and job satisfaction.”
• Digital Mental Health Interventions : “Leveraging digital platforms for mental health interventions, such as therapy apps and online support groups, increases accessibility and reduces barriers to seeking help.”
• Impact of Social Media on Mental Health : “Examining the influence of social media on mental health highlights both positive and negative effects, guiding responsible usage and promoting well-being.”
• Mental Health Disparities : “Addressing mental health disparities among different demographics through culturally sensitive care and accessible services is crucial for equitable well-being.”
• Trauma-Informed Care : “Adopting trauma-informed care approaches in mental health settings acknowledges the impact of past trauma, ensuring respectful and effective treatment.”
• Positive Psychology Interventions : “Incorporating positive psychology interventions, such as gratitude practices and resilience training, enhances mental well-being and emotional resilience.”
• Mental Health Support for First Responders : “Recognizing the unique mental health challenges faced by first responders and providing tailored support services is essential for maintaining their well-being.”

Thesis Statement Examples on Covid-19

Explore 10 illuminating thesis statement examples focusing on various aspects of the Covid-19 pandemic, from the impact on mental health to the role of public health measures. Delve into these examples that highlight the interdisciplinary nature of addressing the pandemic’s challenges and implications on global health.

• Mental Health Crisis Amid Covid-19 : “The Covid-19 pandemic’s psychological toll underscores the urgency of implementing mental health support services and destigmatizing seeking help.”
• Role of Public Health Measures : “Analyzing the effectiveness of public health measures, including lockdowns and vaccination campaigns, in curbing the spread of Covid-19 highlights their pivotal role in pandemic control.”
• Equitable Access to Vaccines : “Ensuring equitable access to Covid-19 vaccines globally is vital to achieving widespread immunity, preventing new variants, and ending the pandemic.”
• Online Education’s Impact : “Exploring the challenges and opportunities of online education during the Covid-19 pandemic provides insights into its effects on students’ academic progress and mental well-being.”
• Economic Implications and Mental Health : “Investigating the economic consequences of the Covid-19 pandemic on mental health highlights the need for comprehensive social support systems and mental health resources.”
• Crisis Communication Strategies : “Evaluating effective crisis communication strategies during the Covid-19 pandemic underscores the importance of transparent information dissemination, fostering public trust.”
• Long-Term Health Effects : “Understanding the potential long-term health effects of Covid-19 on recovered individuals guides healthcare planning and underscores the importance of ongoing monitoring.”
• Digital Health Solutions : “Leveraging digital health solutions, such as telemedicine and contact tracing apps, plays a pivotal role in tracking and managing Covid-19 transmission.”
• Resilience Amid Adversity : “Exploring individual and community resilience strategies during the Covid-19 pandemic sheds light on coping mechanisms and adaptive behaviors in times of crisis.”
• Global Cooperation in Pandemic Response : “Assessing global cooperation and collaboration in pandemic response highlights the significance of international solidarity and coordination in managing global health crises.”

Nursing Thesis Statement Examples

Explore 10 insightful thesis statement examples that delve into the dynamic realm of nursing, from advocating for improved nurse-patient communication to addressing challenges in healthcare staffing. These examples emphasize the critical role of nursing professionals in patient care, healthcare systems, and the continuous pursuit of excellence in the field.

• Nurse-Patient Communication Enhancement : “Elevating nurse-patient communication through effective communication training programs improves patient satisfaction, treatment adherence, and overall healthcare outcomes.”
• Nursing Leadership Impact : “Empowering nursing leadership in healthcare institutions fosters improved patient care, interdisciplinary collaboration, and the cultivation of a positive work environment.”
• Challenges in Nursing Shortages : “Addressing nursing shortages through recruitment strategies, retention programs, and educational support enhances patient safety and healthcare system stability.”
• Evidence-Based Nursing Practices : “Promoting evidence-based nursing practices enhances patient care quality, ensuring that interventions are rooted in current research and best practices.”
• Nursing Role in Preventive Care : “Harnessing the nursing profession’s expertise in preventive care and patient education reduces disease burden and healthcare costs, emphasizing a proactive approach.”
• Nursing Advocacy and Patient Rights : “Nurse advocacy for patients’ rights and informed decision-making ensures ethical treatment, patient autonomy, and respectful healthcare experiences.”
• Nursing Ethics and Dilemmas : “Navigating ethical dilemmas in nursing, such as end-of-life care decisions, highlights the importance of ethical frameworks and interdisciplinary collaboration.”
• Telehealth Nursing Adaptation : “Adapting nursing practices to telehealth platforms requires specialized training and protocols to ensure safe, effective, and patient-centered remote care.”
• Nurse Educators’ Impact : “Nurse educators play a pivotal role in shaping the future of nursing by providing comprehensive education, fostering critical thinking, and promoting continuous learning.”
• Mental Health Nursing Expertise : “The specialized skills of mental health nurses in assessment, intervention, and patient support contribute significantly to addressing the growing mental health crisis.”

Thesis Statement Examples for Health and Wellness

Delve into 10 thesis statement examples that explore the interconnectedness of health and wellness, ranging from the integration of holistic well-being practices in healthcare to the significance of self-care in preventing burnout. These examples highlight the importance of fostering balance and proactive health measures for individuals and communities.

• Holistic Health Integration : “Incorporating holistic health practices, such as mindfulness and nutrition, within conventional healthcare models supports comprehensive well-being and disease prevention.”
• Self-Care’s Impact on Burnout : “Prioritizing self-care among healthcare professionals reduces burnout, enhances job satisfaction, and ensures high-quality patient care delivery.”
• Community Wellness Initiatives : “Community wellness programs that address physical, mental, and social well-being contribute to healthier populations and reduced healthcare burdens.”
• Wellness in Aging Populations : “Tailored wellness programs for the elderly population encompass physical activity, cognitive stimulation, and social engagement, promoting healthier aging.”
• Corporate Wellness Benefits : “Implementing corporate wellness programs enhances employee health, morale, and productivity, translating into lower healthcare costs and higher job satisfaction.”
• Nutrition’s Role in Wellness : “Prioritizing balanced nutrition through education and accessible food options plays a pivotal role in overall wellness and chronic disease prevention.”
• Mental and Emotional Well-Being : “Fostering mental and emotional well-being through therapy, support networks, and stress management positively impacts overall health and life satisfaction.”
• Wellness Tourism’s Rise : “Exploring the growth of wellness tourism underscores the demand for travel experiences that prioritize rejuvenation, relaxation, and holistic well-being.”
• Digital Health for Wellness : “Leveraging digital health platforms for wellness, such as wellness apps and wearable devices, empowers individuals to monitor and enhance their well-being.”
• Equitable Access to Wellness : “Promoting equitable access to wellness resources and facilities ensures that all individuals, regardless of socioeconomic status, can prioritize their health and well-being.”

What is a good thesis statement about mental health?

A thesis statement about mental health is a concise and clear declaration that encapsulates the main point or argument you’re making in your essay or research paper related to mental health. It serves as a roadmap for your readers, guiding them through the content and focus of your work. Crafting a strong thesis statement about mental health involves careful consideration of the topic and a clear understanding of the points you’ll discuss. Here’s how you can create a good thesis statement about mental health:

• Choose a Specific Focus : Mental health is a broad topic. Determine the specific aspect of mental health you want to explore, whether it’s the impact of stigma, the importance of access to treatment, the role of mental health in overall well-being, or another angle.
• Make a Debatable Assertion : A thesis statement should present an argument or perspective that can be debated or discussed. Avoid statements that are overly broad or universally accepted.
• Be Clear and Concise : Keep your thesis statement concise while conveying your main idea. It’s usually a single sentence that provides insight into the content of your paper.
• Provide Direction : Your thesis statement should indicate the direction your paper will take. It’s like a roadmap that tells your readers what to expect.
• Make it Strong : Strong thesis statements are specific, assertive, and supported by evidence. Don’t shy away from taking a clear stance on the topic.
• Revise and Refine : As you draft your paper, your understanding of the topic might evolve. Your thesis statement may need revision to accurately reflect your arguments.

How do you write a Health Thesis Statement? – Step by Step Guide

Crafting a strong health thesis statement requires a systematic approach. Follow these steps to create an effective health thesis statement:

• Choose a Health Topic : Select a specific health-related topic that interests you and aligns with your assignment or research objective.
• Narrow Down the Focus : Refine the topic to a specific aspect. Avoid overly broad statements; instead, zoom in on a particular issue.
• Identify Your Stance : Determine your perspective on the topic. Are you advocating for a particular solution, analyzing causes and effects, or comparing different viewpoints?
• Formulate a Debatable Assertion : Develop a clear and arguable statement that captures the essence of your position on the topic.
• Consider Counterarguments : Anticipate counterarguments and incorporate them into your thesis statement. This adds depth and acknowledges opposing views.
• Be Concise and Specific : Keep your thesis statement succinct while conveying the main point. Avoid vague language or generalities.
• Test for Clarity : Share your thesis statement with someone else to ensure it’s clear and understandable to an audience unfamiliar with the topic.
• Refine and Revise : Your thesis statement is not set in stone. As you research and write, you might find it necessary to revise and refine it to accurately reflect your evolving arguments.

Tips for Writing a Thesis Statement on Health Topics

Writing a thesis statement on health topics requires precision and careful consideration. Here are some tips to help you craft an effective thesis statement:

• Be Specific : Address a specific aspect of health rather than a broad topic. This allows for a more focused and insightful thesis statement.
• Take a Stance : Your thesis statement should present a clear perspective or argument. Avoid vague statements that don’t express a stance.
• Avoid Absolute Statements : Be cautious of using words like “always” or “never.” Instead, use language that acknowledges complexity and nuance.
• Incorporate Keywords : Include keywords that indicate the subject of your research, such as “nutrition,” “mental health,” “public health,” or other relevant terms.
• Preview Supporting Points : Your thesis statement can preview the main points or arguments you’ll discuss in your paper, providing readers with a roadmap.
• Revise as Necessary : Your thesis statement may evolve as you research and write. Don’t hesitate to revise it to accurately reflect your findings.
• Stay Focused : Ensure that your thesis statement remains directly relevant to your topic throughout your writing.

Remember that your thesis statement is the foundation of your paper. It guides your research and writing process, helping you stay on track and deliver a coherent argument.

Text prompt

• Instructive
• Professional

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20 Thesis topics related to Healthcare Architecture

Healthcare Architecture is one of the most important, complex, and demanding fields as it requires precision, needs, and respect for privacy. As architects, we design these structures so that the public is able to walk through the health care system in a proper way. There are many students who work with the topic during their thesis project as it is not only challenging but also opens new doors into tackling pandemics such as Covid-19.

Here are 20 thesis topics related to healthcare architecture:

1. Children friendly healthcare design

Children’s hospitals have been one of the most challenging designs. As the hospital is the last place a child might want to go. So making hospitals less scary and motivating the children to accept the care is one of the biggest psychological challenges that the designer has to encounter. But when dealing with children it can help unleash the child inside the designer. So if you can design for those little ones; this one’s for you.

2. Multispecialty hospital design

A hospital design that deals with different types of multispeciality facilities available under one single roof. This design is in high demand in the urban context and is one of the biggest rising designs. As they’re able to adhere and cater to a large number of people with different ailments.

3. Drug rehabilitation center

Addiction has been and is going to be one of the biggest ailments that our generations have encountered. As there is a subsequent increase in the death rates that have been caused by an overdose of drugs. And somewhere there is a share of rehabilitation spaces too. As they need to feel less of a prison and more of a recovery center which can guarantee the addicted people that this is the road to recovery. Hence the role of architecture is highly important in this context. So if you would like to bring a change to this biggest problem of generation this one’s for you.

4. Redesigning intensive care units

One of the most unique and detailed topics of healthcare architecture which peek into the technicalities of the medical world. With a dominating services part. As including the technical part, there is a lot to design on this topic as it is one of the key elements of the hospitals.

5. Mental health hospital design

Still today mental health problems are always seen with a judgemental eye. And mental hospitals are still aren’t reached by the suffering people just out of the pressure and disgrace created around mental problems. This is why there is an immense need to break the imageability of the mental hospitals and redefine them in a new thought. A new image that can make it a lot less scary and way more approachable. So if you want to risk and break the mold; this is the best one.

6. Autistic healthcare redesign

Autistic care is one of the most creative and challenging ones. As they need for us to dwell into the life of autistic children and understand how their world works. And how can we make it better? Even though the percentage of their population might be small their needs are often ignored as most of the time they’re pushed into our normal worlds that don’t cater to their needs or care at all. So if you would like to step into their shoes and empathize. This one is a good option for you to choose from.

7. Advanced trauma recovery and care center

Trauma is a lot of complex phenomena that don’t just affect momentarily but can change a person’s life forever. Which makes these trauma recovery centers all the more important. They’re supposed to provide the care and refuge for them that can make them feel better and start their journey to recovery. It is a challenging phenomenon to give a solution to through architecture. But the built environment can do wonders that are beyond the comprehension of the human mind.

8. Cancer hospital and research center

Cancer hospitals are one of the most important elements of society and are always needed. With a large amount of infrastructure, technology, and care involved in making them. It undoubtedly makes it one of the most promising thesis topics.

9. Counseling Clinic: Rethinking mental healthcare

Counseling clinics are on a subsequent rise as they are easily approached and overall more preferred by the people who feel they need help. So this design doesn’t just need to step out from the big scary hospital vibe to a friendly place where one might feel like going to have some help. This thesis explores a lot of urban human psychology and the needs of today’s generations of healthcare. Indeed a topic for the promising future.

10. Juvenile trauma recovery center

With the considerable increase in juvenile crimes . Juvenile health and development have been the top priority of many countries worldwide. So out of the many efforts being done for their betterment, this one is one of the most crucial ones. This design needs to cater to the raging young minds while healing them of their trauma and help them walk the road of recovery without falling into the traps of crime. Children’s psychology will play a very important role in their recovery. Thus this project in a real sense is going to shape the future of tomorrow.

11. Pediatric hospital and care center

This one demands a good understanding of infant to toddler development and physiology. Their reactions in certain environments and how to make a peaceful place that can cater to these tender beings with care. It is a very creative and positive topic that prolifically deals with the news.

12. Lodging and care center for cancer patients

Peeking deeper into the journey of a cancer warrior. It gives us the chance to create a better environment for them when they’re battling and are feeling at their lowest. This calls for healing that is done through spaces that make them feel less pained and can provide hope. Something design is very much capable of.

13. Prison recovery and rehabilitation center

The time post-prison is as important as the time inside is. As the prisoners are often left in open with a shock of a new reality right ahead of them. Which at times is a lot to handle, especially in a positive mindset. Thus this rehab center won’t just make them prepared, but also will help them step into this new world as a better human.

14. Adaptive reuse of hospital buildings

The reuse of hospital spaces is challenging. But provides ample opportunities on the way depending on the context and background the design is going to set up in.

15. Cancer prevention, diagnosis, treatment, and survival unit

Covering the whole process of development and recovery this center is supposed to be the most important center in the life of the patients who are to be motivated and kept hopeful throughout. Which requires a conscious approach as a designer to make a space that can help them feel better and give them a will to survive.

16. Eldercare: Redefining healthcare for the elderly

Care for the elderly can be one of the needed topics in today’s world. As the care they need is much beyond a hospital. As they need a hospital that feels like hope. A place where they will be willing to stay rather than run away from. And the design can be the one that can create such an effect successfully.

17. Rural hospice center redesign

Hospice centers in rural areas serve as many other things rather than just healthcare architecture. They act as a refuge space for the general public and even an educational area. Considering its multidimensional use it can be used for many things. Thus providing it as an opportunity to work on a singular space that can serve as a multipurpose space .

18. Dementia: Care center redesign

The dementia care center is a healthcare architecture design that deals with the lives of dementia suffering patients. Which requires them to step into the shoes of the patients. As it can help us create a good environment for them.

19. Behavioral Healthcare facility

The behavioral health facility is the new healthcare facility that has been created. Which has been created to tackle the behavioral and other problems that are dealt with every day in the urban and rural contexts? Thus making it more approachable for the people suffering it. And thus it can become one of the futuristic architecture designs

20. Post-trauma recovery center

From the admission phase to the complete recovery. Different phases are involved and are needed to be catered carefully. Thus it makes the healthcare architecture of the space equally important in the healing of the trauma and the road towards recovery.

Renuka is an artist, architect, and writer. With a keen interest in psychology; she is passionate about 'User-centric and need-based designs'. As an empath herself she finds writing as a way to empower and voice people. While aiming to make this world a better place as a designer.

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