Developing AI-Powered Virtual Patient Chatbots for Diagnostic Reasoning Training

Future work should refine AI-powered virtual patient chatbots by incorporating tiered case complexity, patient-centered language, and equity-oriented design. Effective use will require systematic instructional design and learner preparation for emotionally challenging scenarios. Larger empirical studies using both outcome and interaction data are needed to evaluate educational impact and guide integration into clinical training.

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Publication Details

Journal
Academic Medicine
Published
2026-03-26
DOI
https://doi.org/10.1093/acamed/wvag094
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

Developing AI-Powered Virtual Patient Chatbots for Diagnostic Reasoning Training

Yuyi Park, Yejin Han, Jihyun Lee
Academic Medicine
AI in Service Interactions
article

Developing AI-Powered Virtual Patient Chatbots for Diagnostic Reasoning Training

Yuyi Park, Yejin Han, Jihyun Lee
article en

Abstract

Future work should refine AI-powered virtual patient chatbots by incorporating tiered case complexity, patient-centered language, and equity-oriented design. Effective use will require systematic instructional design and learner preparation for emotionally challenging scenarios. Larger empirical studies using both outcome and interaction data are needed to evaluate educational impact and guide integration into clinical training.

Academic Medicine
Seoul National University (KR), Yeungnam University Medical Center (KR)
Quality Education
Openalex Percentile: Top 8%
AI in Service Interactions
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