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

Formative Evaluation of Digital Health Interventions (4928) e-Learning and Digital Medical Education (1535) Decision Support for Health Professionals (2124) Testing and Assessment in Medical Education (201) Chatbots and Conversational Agents (1135) Artificial Intelligence (4543)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/76618, first published .
Medical team in a meeting reviewing patient data on a laptop and clipboard.

Teaching Clinical Reasoning in Health Care Professions Learners Using AI-Generated Script Concordance Tests: Mixed Methods Formative Evaluation

Teaching Clinical Reasoning in Health Care Professions Learners Using AI-Generated Script Concordance Tests: Mixed Methods Formative Evaluation

Authors of this article:

Alexandre Hudon1, 2, 3, 4, 5 Author Orcid Image ;   Véronique Phan6, 7 Author Orcid Image ;   Bernard Charlin5, 8 Author Orcid Image ;   René Wittmer9 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Knauer R, Kalmring M, Rodner E. Intelligence without intuition: a mixed-methods pilot study on reasoning models in musculoskeletal physiotherapy for low-back pain. Frontiers in Digital Health 2026;8 View
  2. Jeong I, Kim H, Hwang H. Generative artificial intelligence and large language models in competency-based medical education: applications, challenges, and future directions. Kosin Medical Journal 2026;41(2):114 View