Development of a Clinical Clerkship Mentor Using Generative AI and Evaluation of Its Effectiveness in a Medical Student Trial Compared to Student Mentors: 2-Part Comparative Study
AI-CCM has the potential to serve as a supplementary educational partner during CCs, offering comparable support to that of senior student mentors in structured scenarios. Despite challenges of response latency and limited depth in clinical content, AI-CCM was received well by and accessible to students who used ChatGPT's free version. With further refinements, including specialty-specific content and improved responsiveness, AI-CCM may serve as a scalable, context-sensitive support system in clinical medical education.
Authors
- Hiroshi Tajima (ORCID: https://orcid.org/0009-0004-2581-6193)
- Hajime Kasai (ORCID: https://orcid.org/0000-0002-6759-2026)
- Shoichi Ito (ORCID: https://orcid.org/0000-0003-3659-6152)
- Ikuo Shimizu (ORCID: https://orcid.org/0000-0002-6731-7104)
- Yasuhiko Kimura (ORCID: https://orcid.org/0009-0009-6844-7347)
- Kiyoshi Shikino (ORCID: https://orcid.org/0000-0002-3721-3443)
- Hayato Ebihara
Institutions
- Chiba University (JP)
- Chiba University Hospital (JP)
Publication Details
- Journal
- JMIR Medical Education
- Published
- 2025-08-14
- DOI
- https://doi.org/10.2196/76702
- Citations
- 2
- Primary Topic
- Innovations in Medical Education
- Type
- article
- Field-Weighted Citation Impact
- 3.76