AI’s Accuracy in Extracting Learning Experiences From Clinical Practice Logs: Observational Study

This study demonstrated that LLMs such as GPT-4-turbo can predict clinical experiences from learning logs with high specificity but moderate sensitivity. Future improvements in AI models, providing feedback to medical students' learning logs and combining them with other data sources such as electronic medical records, may enhance the accuracy. Using artificial intelligence to analyze learning logs for assessment could reduce the burden on learners and educators while improving the quality of educational assessments in medical education.

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Publication Details

Journal
JMIR Medical Education
Published
2025-09-23
DOI
https://doi.org/10.2196/68697
Citations
1
Primary Topic
Intelligent Tutoring Systems and Adaptive Learning
Type
article
Field-Weighted Citation Impact
2.48
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article

AI’s Accuracy in Extracting Learning Experiences From Clinical Practice Logs: Observational Study

Hiroshi Nishigori, Takeshi Kondo
1 citations
JMIR Medical Education
Intelligent Tutoring Systems and Adaptive Learning
2.48
article

AI’s Accuracy in Extracting Learning Experiences From Clinical Practice Logs: Observational Study

Hiroshi Nishigori, Takeshi Kondo
article en
1 citations

Abstract

This study demonstrated that LLMs such as GPT-4-turbo can predict clinical experiences from learning logs with high specificity but moderate sensitivity. Future improvements in AI models, providing feedback to medical students' learning logs and combining them with other data sources such as electronic medical records, may enhance the accuracy. Using artificial intelligence to analyze learning logs for assessment could reduce the burden on learners and educators while improving the quality of educational assessments in medical education.

JMIR Medical EducationVol. 11
Nagoya City University (JP), Maastricht University (NL), Nagoya University (JP)
Openalex Percentile: Top 8%
Intelligent Tutoring Systems and Adaptive Learning
2.48
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AI’s Accuracy in Extracting Learning Experiences From Clinical Practice Logs: Observational Study — Hiroshi Nishigori, Takeshi Kondo · JMIR Medical Education (2025) | TGRS Research Map | TGRS