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

Testing and Assessment in Medical Education (91) Theme Issue: ChatGPT and Generative Language Models in Medical Education (115) Artificial Intelligence (2129) Electronic Health Records (1319) Clinical Informatics (1325) New Methods and Approaches in Medical Education (374)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59902, first published .
Performance Comparison of Junior Residents and ChatGPT in the Objective Structured Clinical Examination (OSCE) for Medical History Taking and Documentation of Medical Records: Development and Usability Study

Performance Comparison of Junior Residents and ChatGPT in the Objective Structured Clinical Examination (OSCE) for Medical History Taking and Documentation of Medical Records: Development and Usability Study

Performance Comparison of Junior Residents and ChatGPT in the Objective Structured Clinical Examination (OSCE) for Medical History Taking and Documentation of Medical Records: Development and Usability Study

Authors of this article:

Ting-Yun Huang1 Author Orcid Image ;   Pei Hsing Hsieh1 Author Orcid Image ;   Yung-Chun Chang2 Author Orcid Image
Article Authors Cited by (6) Tweetations Metrics

Journals

  1. Wang J, Shue K, Liu L, Hu G. Preliminary evaluation of ChatGPT model iterations in emergency department diagnostics. Scientific Reports 2025;15(1) View
  2. Hirosawa T, Yokose M, Sakamoto T, Harada Y, Tokumasu K, Mizuta K, Shimizu T. Utility of Generative Artificial Intelligence for Japanese Medical Interview Training: Randomized Crossover Pilot Study. JMIR Medical Education 2025;11:e77332 View
  3. Khake A, Gokhale S, Dindore P, Khake S, Desai M. Evaluating the Use of ChatGPT 3.5 and Bard as Self-Assessment Tools for Short Answer Questions in Undergraduate Ophthalmology. Cureus 2025 View
  4. Leung T, Coristine A, Benis A. AI Scribes in Health Care: Balancing Transformative Potential With Responsible Integration. JMIR Medical Informatics 2025;13:e80898 View
  5. Craamer C, Timmers T, van der Weegen W, Kool R. Computer assisted history taking in elective and acute care: Systematic review. Health Policy and Technology 2025;14(6):101108 View
  6. Kewalramani D, Jawa R, Martin C, Gosain A, Wan D, Varghese T, Boland G, Dream S, Sifri Z, Mollen K, Chu D, Narayan M. Position statement from the society of University surgeons, surgical education committee: Artificial intelligence in surgical training for medical students, residents, and fellows. Surgery 2026;190:109849 View