Teaching Clinical Reasoning in Health Care Professions Learners Using AI-Generated Script Concordance Tests: Mixed Methods Formative Evaluation
This is among the first studies to demonstrate that trained generative AI models can reliably simulate expert clinical reasoning within a script-concordance framework. The findings suggest that AI can both streamline SCT design and offer educationally valuable feedback without compromising authenticity. Future studies should explore longitudinal effects on learning and assess how hybrid models (human and AI) can optimize reasoning instruction in medical education.
Authors
- René Wittmer (ORCID: https://orcid.org/0000-0002-3873-9092)
- Véronique Phan (ORCID: https://orcid.org/0000-0001-5391-1578)
- Bernard Charlin
- Alexandre Hudon (ORCID: https://orcid.org/0000-0002-4868-0928)
Institutions
- Université du Québec à Montréal (CA)
- Institut national de psychiatrie légale Philippe-Pinel (CA)
- Centre Hospitalier Universitaire Sainte-Justine (CA)
- Institut Universitaire en Santé Mentale de Québec (CA)
- Institut universitaire en santé mentale de Montréal (CA)
- Université de Montréal (CA)
Publication Details
- Journal
- JMIR Formative Research
- Published
- 2025-11-10
- DOI
- https://doi.org/10.2196/76618
- Citations
- 1
- Primary Topic
- Clinical Reasoning and Diagnostic Skills
- Type
- article
- Field-Weighted Citation Impact
- 1.52