Real-World Impact and Educational Effectiveness of an AI-Powered Medical History-Taking System: Retrospective Propensity Score-Matched Cohort Study

Building upon previous technical validation, this study contributes real-world effectiveness evidence by evaluating AMTES as a voluntary extracurricular supplement within an authentic, high-baseline curriculum. Unlike previous work focusing on technical feasibility or short-term controlled trials, voluntary extracurricular AMTES use was associated with modest yet meaningful improvements in summative history-taking performance. Exploratory analyses indicated that the added value of more intensive engagement may be moderated by baseline academic ability. These findings support the scalability of artificial intelligence-enabled supplementary training and inform precision-oriented instructional design.

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Publication Details

Journal
JMIR Medical Education
Published
2026-02-24
DOI
https://doi.org/10.2196/89367
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
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article

Real-World Impact and Educational Effectiveness of an AI-Powered Medical History-Taking System: Retrospective Propensity Score-Matched Cohort Study

Xian Lu, Oudong Xia, Yiying Zhu, Chujun Shi et al.
JMIR Medical Education
Artificial Intelligence in Healthcare and Education
article

Real-World Impact and Educational Effectiveness of an AI-Powered Medical History-Taking System: Retrospective Propensity Score-Matched Cohort Study

Xian Lu, Oudong Xia, Yiying Zhu, Chujun Shi, Yang Liu, Liping Wu, Weishan Zhang, Minghui Yue
article en

Abstract

Building upon previous technical validation, this study contributes real-world effectiveness evidence by evaluating AMTES as a voluntary extracurricular supplement within an authentic, high-baseline curriculum. Unlike previous work focusing on technical feasibility or short-term controlled trials, voluntary extracurricular AMTES use was associated with modest yet meaningful improvements in summative history-taking performance. Exploratory analyses indicated that the added value of more intensive engagement may be moderated by baseline academic ability. These findings support the scalability of artificial intelligence-enabled supplementary training and inform precision-oriented instructional design.

JMIR Medical EducationVol. 12
Shantou University (CN), Shantou University Medical College (CN)
Quality Education
Openalex Percentile: Top 46%
Artificial Intelligence in Healthcare and Education
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