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

Artificial Intelligence (2248) Clinical Informatics (1377) Electronic Health Records (1354) mHealth for Data Collection and Research (1219) Development and Evaluation of Research Methods, Instruments and Tools (773) Generative Language Models Including ChatGPT (757) Systemic Racism and Racial Bias in Health Care and Society (131) AI for Synthetic Data (4) Responsible Health AI (65)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65317, first published .
Evaluation and Bias Analysis of Large Language Models in Generating Synthetic Electronic Health Records: Comparative Study

Evaluation and Bias Analysis of Large Language Models in Generating Synthetic Electronic Health Records: Comparative Study

Evaluation and Bias Analysis of Large Language Models in Generating Synthetic Electronic Health Records: Comparative Study

Authors of this article:

Ruochen Huang1 Author Orcid Image ;   Honghan Wu2 Author Orcid Image ;   Yuhan Yuan1 Author Orcid Image ;   Yifan Xu1 Author Orcid Image ;   Hao Qian1 Author Orcid Image ;   Changwei Zhang3, 4 Author Orcid Image ;   Xin Wei4 Author Orcid Image ;   Shan Lu5 Author Orcid Image ;   Xin Zhang5 Author Orcid Image ;   Jingbao Kan5 Author Orcid Image ;   Cheng Wan1 Author Orcid Image ;   Yun Liu5 Author Orcid Image
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Conference Proceedings

  1. Dildora I, Shokirovich O, Yuldasheva G, Singhal A, Alimardanova R, Abdirahmonov L. 2025 7th International Conference on Information Systems and Computer Networks (ISCON). Democratizing AI Linguistic Technologies for Understanding Diverse Social Voices View