Accessibility settings

This paper is in the following e-collection/theme issue:

Testing and Assessment in Medical Education (117) Virtual Patients (88) Simulation (188) Computerized History Taking (17) Artificial Intelligence (AI) in Medical Education (236) Generative Language Models Including ChatGPT (832) Ambient AI Scribes and AI-Driven Documentation Technologies (27)

Published on in Vol 12 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/84347, first published .
Developing and Validating a Coding Scheme for Clinical Reasoning in History Taking Using Generative AI–Based Virtual Patients: Systematic Text Condensation Approach

Developing and Validating a Coding Scheme for Clinical Reasoning in History Taking Using Generative AI–Based Virtual Patients: Systematic Text Condensation Approach

Developing and Validating a Coding Scheme for Clinical Reasoning in History Taking Using Generative AI–Based Virtual Patients: Systematic Text Condensation Approach

Authors of this article:

Naping Chen1 Author Orcid Image ;   Luzhen Tang2 Author Orcid Image ;   Yang Liu1 Author Orcid Image ;   Changmin Lin3 Author Orcid Image ;   Zijian Li2 Author Orcid Image ;   Chujun Shi1 Author Orcid Image ;   Mengyu Xia2 Author Orcid Image ;   Dragan Gasevic4 Author Orcid Image ;   Danijela Gasevic5 Author Orcid Image ;   Jinbin Zheng6 Author Orcid Image ;   Yizhou Fan2 Author Orcid Image ;   Xinyu Li4 Author Orcid Image
Article Authors Cited by Tweetations Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.