Health Informatics papers
Pofolia’s corpus holds 83 papers from Health Informatics (2014–2025), each with a short summary. Below, the 20 most-cited, then the most recently added.
At a glance
- Most cited: Artificial intelligence in healthcare: past, present and future (2017, 4,663 citations).
- The 20 papers listed have 50,114 citations between them.
- 17 of the 17 with a known journal quartile appeared in a Q1 journal.
- 15 have a free full text (open access).
- Most frequent journals: BMC Medicine, Future Healthcare Journal, BMC Medical Education.
- Published between 2014 and 2024.
Most cited
Ranked by citation count. Because citations accumulate over time, this list naturally leans towards work published a few years ago; for where the field is now, see “recently added”. How to read the signals
Artificial intelligence in healthcare: past, present and future
Stroke and Vascular Neurology · 2017 · Q1 · SJR 1.00 · FWCI 189.46 · 4,663 citations · Open access
Artificial intelligence (AI) is revolutionizing healthcare by mimicking human cognitive functions, driven by vast healthcare data and advanced analytics.
Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy
International Journal of Information Management · 2023 · Q1 · SJR 5.00 · FWCI 111.57 · 3,820 citations · Open access
This opinion paper synthesizes 43 expert contributions on generative AI like ChatGPT, highlighting its potential to boost productivity across industries while also raising significant ethical, legal, and practical challenges.
The potential for artificial intelligence in healthcare
Future Healthcare Journal · 2019 · FWCI 55.51 · 3,682 citations · Open access
Artificial intelligence (AI) is increasingly being applied across healthcare for diagnosis, treatment, patient engagement, and administrative tasks, often matching or exceeding human performance.
Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models
PLOS Digital Health · 2023 · Q1 · SJR 1.00 · FWCI 105.81 · 3,630 citations · Open access
ChatGPT achieved performance at or near the passing threshold on all three USMLE exams (Step 1, Step 2CK, Step 3) without specialized training.
Revolutionizing healthcare: the role of artificial intelligence in clinical practice
BMC Medical Education · 2023 · Q1 · SJR 1.00 · FWCI 83.90 · 2,872 citations · Open access
Artificial intelligence (AI) is poised to revolutionize healthcare by enhancing disease diagnosis, treatment recommendations, and patient engagement, offering increased accuracy and reduced costs.
ChatGPT Utility in Healthcare Education, Research, and Practice: Systematic Review on the Promising Perspectives and Valid Concerns
Healthcare · 2023 · Q1 · FWCI 49.42 · 2,768 citations · Open access
A systematic review of 60 studies reveals ChatGPT offers significant benefits in healthcare education, research, and practice, cited by 85% of records, but 96.7% also highlight critical concerns.
Key challenges for delivering clinical impact with artificial intelligence
BMC Medicine · 2019 · Q1 · SJR 2.00 · FWCI 44.52 · 2,604 citations · Open access
Translating artificial intelligence (AI) from healthcare research into clinical practice faces significant hurdles, including scientific limitations, implementation logistics, and adoption barriers.
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
BMJ · 2024 · Q1 · SJR 1.00 · FWCI 213.60 · 2,422 citations · Open access
The updated TRIPOD+AI statement provides harmonized guidance for reporting studies that develop or evaluate clinical prediction models, now encompassing both traditional regression and modern machine learning/AI methods.
ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope
Internet of Things and Cyber-Physical Systems · 2023 · Q1 · SJR 4.00 · FWCI 69.84 · 2,394 citations
This review comprehensively examines ChatGPT's background, diverse applications across industries, and critical challenges including bias, ethics, and safety.
Comparing Physician and Artificial Intelligence Chatbot Responses to Patient Questions Posted to a Public Social Media Forum
JAMA Internal Medicine · 2023 · Q1 · SJR 4.00 · FWCI 68.69 · 2,353 citations
An AI chatbot (ChatGPT) generated responses to patient questions that were preferred by healthcare professionals over physician responses in 78.6% of cases, demonstrating significantly higher quality and empathy.
The Nature of Expertise
Psychology Press eBooks · 2014 · FWCI 7.92 · 2,189 citations
This book explores the multifaceted nature of expertise, drawing on advancements in artificial intelligence and cognitive psychology.
Chatting and cheating: Ensuring academic integrity in the era of ChatGPT
Innovations in Education and Teaching International · 2023 · Q1 · SJR 1.00 · FWCI 62.48 · 2,139 citations
The rise of AI tools like ChatGPT presents higher education with both opportunities for enhanced learning and significant challenges to academic integrity, particularly concerning plagiarism.
How Does ChatGPT Perform on the United States Medical Licensing Examination (USMLE)? The Implications of Large Language Models for Medical Education and Knowledge Assessment
JMIR Medical Education · 2023 · Q1 · SJR 2.00 · FWCI 60.05 · 2,059 citations · Open access
ChatGPT achieved accuracies of 44-64% on USMLE Step 1 and Step 2 practice questions, notably surpassing other large language models and demonstrating a passing score equivalent for the NBME-Free-Step-1 set.
Calibration: the Achilles heel of predictive analytics
BMC Medicine · 2019 · Q1 · SJR 2.00 · FWCI 33.86 · 1,943 citations · Open access
Poorly calibrated risk prediction models, common in clinical decision-making, can be misleading and harmful, necessitating immediate attention to calibration during development and validation.
Explainability for artificial intelligence in healthcare: a multidisciplinary perspective
BMC Medical Informatics and Decision Making · 2020 · Q1 · SJR 1.00 · FWCI 32.43 · 1,900 citations · Open access
This paper argues that explainability is crucial for the ethical adoption of AI in healthcare, as omitting it threatens core medical values and patient health.
Students’ voices on generative AI: perceptions, benefits, and challenges in higher education
International Journal of Educational Technology in Higher Education · 2023 · Q1 · SJR 7.00 · FWCI 55.29 · 1,893 citations · Open access
A survey of 399 Hong Kong university students reveals generally positive attitudes towards generative AI (GenAI) in education, with students recognizing its potential for personalized learning and research support.
What Is the Impact of ChatGPT on Education? A Rapid Review of the Literature
Education Sciences · 2023 · Q1 · FWCI 51.61 · 1,763 citations · Open access
A rapid review of 50 articles published within three months of ChatGPT's release reveals its performance varies by subject, excelling in economics but struggling in mathematics, and presents both opportunities and challenges for education.
ChatGPT: Bullshit spewer or the end of traditional assessments in higher education?
Journal of Applied Learning & Teaching · 2023 · Q1 · SJR 2.00 · FWCI 49.79 · 1,701 citations · Open access
ChatGPT, an advanced AI chatbot, can generate human-like text, raising significant concerns about its impact on traditional higher education assessments and learning.
Implementing Machine Learning in Health Care — Addressing Ethical Challenges
New England Journal of Medicine · 2018 · Q1 · SJR 18.00 · FWCI 34.32 · 1,669 citations
Implementing machine learning in healthcare requires careful consideration of its inherent ethical challenges to realize its benefits.
Artificial intelligence in healthcare: transforming the practice of medicine
Future Healthcare Journal · 2021 · FWCI 31.17 · 1,650 citations · Open access
Artificial intelligence (AI) is poised to fundamentally transform medicine and healthcare delivery by enabling effective, reliable, and safe systems.
Recently added
Use of Ambient AI Scribes to Reduce Administrative Burden and Professional Burnout
JAMA Network Open · 2025 · Q1 · SJR 3.00 · FWCI 50.88 · 199 citations · Open access
A 30-day trial of ambient AI scribes reduced burnout by 13% (from 51.9% to 38.8%) and cut after-hours documentation time by nearly an hour among 263 ambulatory care clinicians.
Artificial intelligence in healthcare and medicine: clinical applications, therapeutic advances, and future perspectives
European journal of medical research · 2025 · FWCI 65.71 · 257 citations · Open access
Artificial intelligence (AI) is transforming healthcare by enhancing diagnostics, personalizing treatment, and improving efficiency, with potential to promote equity in low-resource settings.
Artificial intelligence in sport: A narrative review of applications, challenges and future trends
Journal of Sports Sciences · 2025 · Q1 · SJR 1.00 · FWCI 5.95 · 49 citations · Open access
Artificial intelligence (AI) is transforming sport by optimizing athlete movement, personalizing training, and improving diagnostics, though data privacy and ethical concerns remain key challenges.
The effects of over-reliance on AI dialogue systems on students' cognitive abilities: a systematic review
Smart Learning Environments · 2024 · Q1 · SJR 4.00 · FWCI 32.80 · 1,095 citations · Open access
Students' over-reliance on AI dialogue systems, driven by ethical concerns and a preference for quick solutions, impairs critical cognitive abilities like decision-making and analytical reasoning.
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
BMJ · 2024 · Q1 · SJR 1.00 · FWCI 213.60 · 2,422 citations · Open access
The updated TRIPOD+AI statement provides harmonized guidance for reporting studies that develop or evaluate clinical prediction models, now encompassing both traditional regression and modern machine learning/AI methods.
The Role of AI in Hospitals and Clinics: Transforming Healthcare in the 21st Century
Bioengineering · 2024 · Q2 · FWCI 70.97 · 806 citations · Open access
AI is revolutionizing healthcare by improving clinical decision-making, optimizing hospital operations, refining medical image analysis, and enhancing patient monitoring via wearables, addressing challenges like rising costs and demand for personalized care.
Ethical and regulatory challenges of AI technologies in healthcare: A narrative review
Heliyon · 2024 · Q1 · FWCI 25.48 · 851 citations · Open access
AI in healthcare faces significant ethical and regulatory hurdles that require a robust governance framework for successful implementation.
A Bibliometric Analysis of Heart Disease Detection using Artificial Intelligence Techniques: Trends, Influential Works, and Research Gaps
International Journal of Innovative Science and Research Technology (IJISRT) · 2023 · FWCI 22.73 · 777 citations
A bibliometric analysis of 662 documents reveals key trends, influential authors, and research gaps in AI-driven heart disease detection.
Journals in this field
The journals that publish most of this field’s papers. Quartile (Q1–Q4), SJR and h-index are from SCImago Journal Rank; “in this field” is how many of the journal’s pooled papers belong here. What is a Q1 journal? · What is the h-index?
| Journal | Quartile | SJR | h-index | In this field | Summaries |
|---|---|---|---|---|---|
| New England Journal of Medicine | Q1 | 18.00 | 1275 | 3 | 376 |
| Nature Medicine | Q1 | 17.00 | 676 | 3 | 11 |
| International Journal of Educational Technology in Higher Education | Q1 | 7.00 | 97 | 3 | 5 |
| npj Digital Medicine | Q1 | 4.00 | 130 | 3 | 11 |
| Education Sciences | Q1 | — | 85 | 3 | 8 |
| Science | Q1 | 10.00 | 1433 | 2 | 268 |
| Smart Learning Environments | Q1 | 4.00 | 54 | 2 | 3 |
| Journal of Medical Internet Research | Q1 | 2.00 | 234 | 2 | 26 |
Every journal in Health Informatics (Q1–Q4) →
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