Construction and clinical teaching application of virtual patient system: based on artificial intelligence LLM technology

Objective To construct a novel virtual patient (VP) system based on artificial intelligence large language model (LLM) technology for medical education, and to evaluate its effectiveness in improving the clinical thinking skills of primary care physicians in continuing education. Methods Primary car...

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Bibliographic Details
Published inYixue xinzhi zazhi Vol. 34; no. 7; pp. 833 - 842
Main Authors ZHOU Zhihao, SONG Jialin, LIU Jiacheng, ZHOU Xinyue, HU Hankun
Format Journal Article
LanguageChinese
Published Editorial Office of New Medicine 01.07.2024
Subjects
artificial intelligence
clinical thinking
large language model
medical education
virtual patient
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ISSN1004-5511
DOI10.12173/j.issn.1004-5511.202403091

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Summary:Objective To construct a novel virtual patient (VP) system based on artificial intelligence large language model (LLM) technology for medical education, and to evaluate its effectiveness in improving the clinical thinking skills of primary care physicians in continuing education. Methods Primary care physicians from grassroots community hospitals who were in training at Zhongda Hospital Southeast University from January 2021 to February 2024 were selected as the research subjects and randomly divided into experimental group and control group. The VP system based on LLM and traditional teaching methods were used for instruction. The teaching effects were evaluated through theoretical knowledge assessment, clinical thinking ability assessment, and course satisfaction surveys, with the results subjected to corresponding statistical analysis. Results A total of 124 primary community doctors were included, with 60 in the experimental group and 64 in the control group. No significant statistical differences in the
ISSN:1004-5511
DOI:10.12173/j.issn.1004-5511.202403091