The feasibility of using generative artificial intelligence for history taking in virtual patients.

ABSTRACT:

Objective

This study aimed to design and develop a virtual patient program using generative Artificial Intelligence (AI) technology, providing medical students opportunities to practice history-taking with a chatbot. We evaluated the feasibility of this approach by analyzing the quality of responses generated by the chatbot.

Results

Five expert reviewers participated in a pilot test, interacting with the chatbot to take the history of a patient presenting with a urinary problem using the Korean AI platform Naver HyperCLOVA X^®. They evaluated the AI responses using a five-item questionnaire rated on a five-point Likert scale. The chatbot generated 96 pairs of questions and answers, totaling 1,325 words in 177 sentences. Discourse analysis of the scripts revealed th

SUBMITTER: Yi Y 

PROVIDER: S-EPMC11849343 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature