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

Virtual Patients (62) Generative Language Models Including ChatGPT (477) Artificial Intelligence (1698) Theme Issue: ChatGPT and Generative Language Models in Medical Education (98) Simulation (129)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53961, first published .
A Generative Pretrained Transformer (GPT)–Powered Chatbot as a Simulated Patient to Practice History Taking: Prospective, Mixed Methods Study

A Generative Pretrained Transformer (GPT)–Powered Chatbot as a Simulated Patient to Practice History Taking: Prospective, Mixed Methods Study

A Generative Pretrained Transformer (GPT)–Powered Chatbot as a Simulated Patient to Practice History Taking: Prospective, Mixed Methods Study

Authors of this article:

Friederike Holderried1 Author Orcid Image ;   Christian Stegemann–Philipps1 Author Orcid Image ;   Lea Herschbach1 Author Orcid Image ;   Julia-Astrid Moldt1 Author Orcid Image ;   Andrew Nevins2 Author Orcid Image ;   Jan Griewatz1 Author Orcid Image ;   Martin Holderried3 Author Orcid Image ;   Anne Herrmann-Werner1 Author Orcid Image ;   Teresa Festl-Wietek1 Author Orcid Image ;   Moritz Mahling1, 4 Author Orcid Image
Article Authors Cited by (33) Tweetations (3) Metrics

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  1. Holderried F, Stegemann-Philipps C, Herrmann-Werner A, Festl-Wietek T, Holderried M, Eickhoff C, Mahling M. A Language Model–Powered Simulated Patient With Automated Feedback for History Taking: Prospective Study. JMIR Medical Education 2024;10:e59213 View
  2. Huisman T, Huisman T. Artificial Intelligence in Newborn Medicine. Newborn 2024;3(2):96 View
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  4. Thomae A, Witt C, Barth J. Integration of ChatGPT Into a Course for Medical Students: Explorative Study on Teaching Scenarios, Students’ Perception, and Applications. JMIR Medical Education 2024;10:e50545 View
  5. Borg A, Jobs B, Huss V, Gentline C, Espinosa F, Ruiz M, Edelbring S, Georg C, Skantze G, Parodis I. Enhancing clinical reasoning skills for medical students: a qualitative comparison of LLM-powered social robotic versus computer-based virtual patients within rheumatology. Rheumatology International 2024;44(12):3041 View
  6. Brügge E, Ricchizzi S, Arenbeck M, Keller M, Schur L, Stummer W, Holling M, Lu M, Darici D. Large language models improve clinical decision making of medical students through patient simulation and structured feedback: a randomized controlled trial. BMC Medical Education 2024;24(1) View
  7. Gupta N, Khatri K, Malik Y, Lakhani A, Kanwal A, Aggarwal S, Dahuja A. Exploring prospects, hurdles, and road ahead for generative artificial intelligence in orthopedic education and training. BMC Medical Education 2024;24(1) View
  8. Farhadi Nia M, Ahmadi M, Irankhah E. Transforming dental diagnostics with artificial intelligence: advanced integration of ChatGPT and large language models for patient care. Frontiers in Dental Medicine 2025;5 View
  9. Janumpally R, Nanua S, Ngo A, Youens K. Generative artificial intelligence in graduate medical education. Frontiers in Medicine 2025;11 View
  10. Bany Abdelnabi A, Soykan B, Bhatti D, Rabadi G. Usefulness of Large Language Models (LLMs) for Student Feedback on H&P During Clerkship: Artificial Intelligence for Personalized Learning. ACM Transactions on Computing for Healthcare 2025 View
  11. 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
  12. Newton P, Jones S. Education and Training Assessment and Artificial Intelligence. A Pragmatic Guide for Educators. British Journal of Biomedical Science 2025;81 View
  13. Weisman D, Sugarman A, Huang Y, Gelberg L, Ganz P, Comulada W. Development of a GPT-4–Powered Virtual Simulated Patient and Communication Training Platform for Medical Students to Practice Discussing Abnormal Mammogram Results With Patients: Multiphase Study. JMIR Formative Research 2025;9:e65670 View
  14. Kang B, Lee S, Bae H, Kim C. Current Status and Direction of Generative Large Language Model Applications in Medicine : Focusing on East Asian Medicine. Journal of Physiology & Pathology in Korean Medicine 2024;38(2):49 View
  15. Rädel-Ablass K, Schliz K, Schlick C, Meindl B, Pahr-Hosbach S, Schwendemann H, Rupp S, Roddewig M, Miersch C. Teaching opportunities for anamnesis interviews through AI based teaching role plays: a survey with online learning students from health study programs. BMC Medical Education 2025;25(1) View
  16. Yi Y, Kim K. The feasibility of using generative artificial intelligence for history taking in virtual patients. BMC Research Notes 2025;18(1) View
  17. Aster A, Ragaller S, Raupach T, Marx A. ChatGPT as a Virtual Patient: Written Empathic Expressions During Medical History Taking. Medical Science Educator 2025 View
  18. Yuan Y, He J, Wang F, Li Y, Guan C, Jiang C. AI agent as a simulated patient for history-taking training in clinical clerkship: an example in stomatology. Global Medical Education 2025 View
  19. Sriram A, Ramachandran K, Krishnamoorthy S. Artificial Intelligence in Medical Education: Transforming Learning and Practice. Cureus 2025 View
  20. Kim K. Technology-enhanced learning in medical education in the age of artificial intelligence. Forum for Education Studies 2025;3(2):2730 View
  21. Shah M, Shahzadi S, Khan S. Postgraduate Students Perception of Using Chatgpt in Clinical Management and Research: A Qualitative Exploratory Study. Journal of Gandhara Medical and Dental Science 2025;12(2):19 View
  22. Mileti A, de Cosmo L, Piper L, Baldassarre F, Schillaci E, Guido G. Tell Me How to Prompt! Healthcare Chatbots Response to Emotional Prompts for Enhanced Services. Review and Propositions. Journal of Economic Surveys 2025 View
  23. Budler L, Chen H, Chen A, Topaz M, Tam W, Bian J, Stiglic G. A Brief Review on Benchmarking for Large Language Models Evaluation in Healthcare. WIREs Data Mining and Knowledge Discovery 2025;15(2) View
  24. Hua Y, Na H, Li Z, Liu F, Fang X, Clifton D, Torous J. A scoping review of large language models for generative tasks in mental health care. npj Digital Medicine 2025;8(1) View

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  3. Sinha K, Singh V, Vishnoi A, Madan P, Shukla Y. 2024 International Conference on Emerging Technologies and Innovation for Sustainability (EmergIN). Healthcare Diagnostic RAG-Based Chatbot Triage Enabled by BioMistral-7B View