This paper is in the following e-collection/theme issue:

Development and Evaluation of Research Methods, Instruments and Tools (628) Theme Issue: ChatGPT and Generative Language Models in Medical Education (98) e-Learning and Digital Medical Education (777) Chatbots and Conversational Agents (616) Artificial Intelligence (1670) mHealth in Medical Education and Training (95) New Methods and Approaches in Medical Education (300) Generative Language Models Including ChatGPT (464)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51346, first published .
ChatGPT as a Tool for Medical Education and Clinical Decision-Making on the Wards: Case Study

ChatGPT as a Tool for Medical Education and Clinical Decision-Making on the Wards: Case Study

ChatGPT as a Tool for Medical Education and Clinical Decision-Making on the Wards: Case Study

Authors of this article:

Anthony Skryd1 Author Orcid Image ;   Katharine Lawrence2 Author Orcid Image
Article Authors Cited by (13) Tweetations (4) Metrics

Journals

  1. Rashid A, Skelly R, Valdes C, Patel P, Solberg L, Giordano C, Modave F. Evaluating ChatGPT’s moral competence in health care-related ethical problems. JAMIA Open 2024;7(3) View
  2. Hindy J, Souaid T, Kovacs C. Capabilities of GPT-4o and Gemini 1.5 Pro in Gram stain and bacterial shape identification. Future Microbiology 2024;19(15):1283 View
  3. Gan W, Ouyang J, Li H, Xue Z, Zhang Y, Dong Q, Huang J, Zheng X, Zhang Y. Integrating ChatGPT in Orthopedic Education for Medical Undergraduates: Randomized Controlled Trial. Journal of Medical Internet Research 2024;26:e57037 View
  4. Agrawal A. Fairness in AI-Driven Oncology: Investigating Racial and Gender Biases in Large Language Models. Cureus 2024 View
  5. Brin D, Sorin V, Konen E, Nadkarni G, Glicksberg B, Klang E. How GPT models perform on the United States medical licensing examination: a systematic review. Discover Applied Sciences 2024;6(10) View
  6. Gupta A, Quinn M, Greene M, Fowler K, Chopra V. Implementation of a bundle to improve diagnosis in hospitalized patients: lessons learned. Diagnosis 2025;12(1):68 View
  7. Fast D, Adams L, Busch F, Fallon C, Huppertz M, Siepmann R, Prucker P, Bayerl N, Truhn D, Makowski M, Löser A, Bressem K. Autonomous medical evaluation for guideline adherence of large language models. npj Digital Medicine 2024;7(1) View
  8. Maaz S, Palaganas J, Palaganas G, Bajwa M. A guide to prompt design: foundations and applications for healthcare simulationists. Frontiers in Medicine 2025;11 View
  9. Scherr R, Spina A, Dao A, Andalib S, Halaseh F, Blair S, Wiechmann W, Rivera R. Novel Evaluation Metric and Quantified Performance of ChatGPT-4 Patient Management Simulations for Early Clinical Education: Experimental Study. JMIR Formative Research 2025;9:e66478 View
  10. Wang X, Ye H, Zhang S, Yang M, Wang X. Evaluation of the Performance of Three Large Language Models in Clinical Decision Support: A Comparative Study Based on Actual Cases. Journal of Medical Systems 2025;49(1) View
  11. Vrdoljak J, Boban Z, Vilović M, Kumrić M, Božić J. A Review of Large Language Models in Medical Education, Clinical Decision Support, and Healthcare Administration. Healthcare 2025;13(6):603 View
  12. Pohn B, Mehnen L, Fitzek S, Choi K, Braun R, Hatamikia S. Integrating artificial intelligence into pre-clinical medical education: challenges, opportunities, and recommendations. Frontiers in Education 2025;10 View
  13. Rincón E, Jimenez D, Aguilar L, Flórez J, Tapia Á, Peñuela C. Mapping the use of artificial intelligence in medical education: a scoping review. BMC Medical Education 2025;25(1) View