Acting with standardized patients is an important way to train the skills of medical history taking. The newly developed large language model ChatGPT has powerful language function and can communicate with human-like natural language. To further explore and develop the prompt engineering for ChatGPT-4 to act as virtual standardized patients (VSP), this study established, tested, and iterated the prompts from October 2023 to February 2024. The logs of ChatGPT-4′s interaction with participants and the evaluations of medical students participating in the test were collected. Qualitative text analysis was used to evaluate the influence of different versions of the prompt lexemes on improving the effectiveness of ChatGPT-4 as a VSP. The results showed that ChatGPT-4 had a better understanding of narrative history, mastered the interaction skills of SP, and effectively evaluated the consultation. After adjustment and optimization, the prompts can adapt to various medical cases. Students rated their performance as excellent, especially if there was emotional interaction. The establishment of the prompt engineering provides a new way for medical teachers to easily create VSPs, and creates a chance for medical students to practice medical history taking.
Chen Naping
,
Tang Luzhen
,
Huang Xiansheng
,
Zheng Jinbin
,
Fan Yizhou
. Research on virtual standardized patient application based on ChatGPT-4[J]. Chinese Journal of Medical Education, 2025
, 45(1)
: 44
-49
.
DOI: 10.3760/cma.j.cn115259-20240307-00225
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