Application of AI Communication Training Tools in Medical Undergraduate Education: Mixed Methods Feasibility Study Within a Primary Care Context
AI VP technology shows promising potential for communication skills training despite the current realism limitations. While it does not yet match human standardized patient authenticity, the technology has achieved sufficient fidelity to support meaningful educational interactions, and this study identified clear areas for improvement. The integration of AI into medical curricula represents a promising avenue for innovation in medical education, with the potential to improve the quality and effectiveness of training programs.
Authors
- Chris Jacobs (ORCID: https://orcid.org/0000-0002-3638-5454)
- Hans Johnson (ORCID: https://orcid.org/0000-0002-2001-4544)
- Trevor Thompson (ORCID: https://orcid.org/0000-0001-9880-782X)
- Nina Tan (ORCID: https://orcid.org/0009-0000-8772-3268)
- Kirsty Brownlie (ORCID: https://orcid.org/0000-0003-1442-0412)
- Richard Joiner (ORCID: https://orcid.org/0000-0002-9252-1940)
Institutions
- University of Bristol (GB)
- University of Bath (GB)
Publication Details
- Journal
- JMIR Medical Education
- Published
- 2025-09-10
- DOI
- https://doi.org/10.2196/70766
- Citations
- 3
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.96