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

Preliminary Experiences with New Educational Technology (44) e-Learning and Digital Medical Education (932) New Methods and Approaches in Medical Education (400) Artificial Intelligence (AI) in Medical Education (209) Simulation (174) Student/Learners Perceptions and Experiences with Educational Technology (125) Theme Issue: ChatGPT and Generative Language Models in Medical Education (115)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63353, first published .
Assessing ChatGPT’s Capability as a New Age Standardized Patient: Qualitative Study

Assessing ChatGPT’s Capability as a New Age Standardized Patient: Qualitative Study

Assessing ChatGPT’s Capability as a New Age Standardized Patient: Qualitative Study

Authors of this article:

Joseph Cross1 Author Orcid Image ;   Tarron Kayalackakom2 Author Orcid Image ;   Raymond E Robinson3 Author Orcid Image ;   Andrea Vaughans4 Author Orcid Image ;   Roopa Sebastian4 Author Orcid Image ;   Ricardo Hood2 Author Orcid Image ;   Courtney Lewis2 Author Orcid Image ;   Sumanth Devaraju2 Author Orcid Image ;   Prasanna Honnavar2 Author Orcid Image ;   Sheetal Naik2 Author Orcid Image ;   Jillwin Joseph2 Author Orcid Image ;   Nikhilesh Anand5 Author Orcid Image ;   Abdalla Mohammed6 Author Orcid Image ;   Asjah Johnson6 Author Orcid Image ;   Eliran Cohen6 Author Orcid Image ;   Teniola Adeniji6 Author Orcid Image ;   Aisling Nnenna Nnaji6 Author Orcid Image ;   Julia Elizabeth George6 Author Orcid Image
Article Authors Cited by (8) Tweetations (1) Metrics

Journals

  1. Fußhöller A, Lechner F, Schlicker N, Muehlensiepen F, Mayr A, Kuhn S, Hirsch M, Knitza J. Perceptions, Usage, and Educational Impact of ChatGPT Among Medical Students in Germany: Cross-Sectional Mixed Methods Survey. JMIR Formative Research 2025;9:e81484 View
  2. Kang J, Ahn J. Technologies, opportunities, challenges, and future directions for integrating generative artificial intelligence into medical education: a narrative review. Ewha Medical Journal 2025;48(4):e53 View
  3. Jo Y, Lee M, Yang H. Large Language Model-Based Virtual Patient Simulations in Medical and Nursing Education: A Review. Applied Sciences 2025;15(22):11917 View
  4. O’Carroll J, Lally J. Reflections on a hybrid model for psychiatry exam preparation using conversational AI. Irish Journal of Psychological Medicine 2025:1 View
  5. García-Torres D, Fernández C, Mira J, Morales A, Vicente M. Using AI-Based Virtual Simulated Patients for Training in Psychopathological Interviewing: Cross-Sectional Observational Study. JMIR Medical Education 2025;11:e78857 View
  6. Kıyak Y, İş-Kara T, Emekli E. Applications and Outcomes of Large‑Language‑Model‑Generated Feedback in Undergraduate Medical Education: A Scoping Review. Medical Science Educator 2026 View
  7. Zouakia Z, Logak E, Szymczak A, Jais J, Burgun A, Tsopra R. AI-Driven Objective Structured Clinical Examination Generation in Digital Health Education: Comparative Analysis of Three GPT-4o Configurations. JMIR Medical Education 2026;12:e82116 View
  8. Cao X, Lu Y, Li J, Luo X, Zeng Y, Wang S, Gao H. Medical students perceptions and attitudes toward the use of generative artificial intelligence in clinical decision-making: a nationwide cross-sectional survey in China. BMC Medical Education 2026 View