AI- vs Human-Based Assessment of Medical Interview Transcripts in a Generative AI–Simulated Patient System: Cross-Sectional Validation Study

ABA-o1 and ABA-5 produced scores closely matching HBA while demonstrating superior consistency and reliability. In the setting of virtual interview transcripts, these findings suggest that ABA may serve as a valid, rapid, and scalable alternative to HBA, reducing per-assessment time by over half. Applied strategically, AI-based scoring could enable timely feedback, improve efficiency, and reduce faculty workload. Further research is needed to confirm generalizability across broader settings.

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Publication Details

Journal
JMIR Medical Education
Published
2025-12-15
DOI
https://doi.org/10.2196/81673
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
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article

AI- vs Human-Based Assessment of Medical Interview Transcripts in a Generative AI–Simulated Patient System: Cross-Sectional Validation Study

Minoru Kishi, Yuji Yamada, Hiromizu Takahashi, Takeshi Kondo et al.
JMIR Medical Education
Artificial Intelligence in Healthcare and Education
article

AI- vs Human-Based Assessment of Medical Interview Transcripts in a Generative AI–Simulated Patient System: Cross-Sectional Validation Study

Minoru Kishi, Yuji Yamada, Hiromizu Takahashi, Takeshi Kondo, Tadashi Matsuura, Ayame Enomoto, Fumiaki Sano, Toshio Naito, Yoshinori Tokushima, Sho Nagai, Kiyoshi Shikino, Tsutomu Shinohara, Yoshitaka Tomoda, Roselaine Terezinha Migotto Watanabe, Yuki Aiyama
article en

Abstract

ABA-o1 and ABA-5 produced scores closely matching HBA while demonstrating superior consistency and reliability. In the setting of virtual interview transcripts, these findings suggest that ABA may serve as a valid, rapid, and scalable alternative to HBA, reducing per-assessment time by over half. Applied strategically, AI-based scoring could enable timely feedback, improve efficiency, and reduce faculty workload. Further research is needed to confirm generalizability across broader settings.

JMIR Medical EducationVol. 12
Tokyo Medical and Dental University (JP), Chiba University (JP), Saga University (JP), Tenri Hospital (JP), Juntendo University (JP), Maastricht University (NL), Nagoya University Hospital (JP), Tokyo-Kita Medical Center (JP), Hokkaido hospital (JP), Mie Chuo Medical Center (JP), Kashiwa Municipal Hospital (JP), University of Human Environments (JP), Icahn School of Medicine at Mount Sinai (US)
Openalex Percentile: Top 65%
Artificial Intelligence in Healthcare and Education
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