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

Artificial Intelligence (1838) Clinical Informatics (1191) Electronic Health Records (1216) mHealth for Data Collection and Research (1110) Development and Evaluation of Research Methods, Instruments and Tools (666) Generative Language Models Including ChatGPT (561) Systemic Racism and Racial Bias in Health Care and Society (106) AI for Synthetic Data (3) Responsible Health AI (10)

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
Article Authors Cited by Tweetations Metrics

Ruochen Huang   1 , DD ;   Honghan Wu   2 , DD ;   Yuhan Yuan   1 , BD ;   Yifan Xu   1 ;   Hao Qian   1 ;   Changwei Zhang   3, 4 , DD ;   Xin Wei   4 , DD ;   Shan Lu   5 , DD ;   Xin Zhang   5 , DD ;   Jingbao Kan   5 , PhD ;   Cheng Wan   1 * , DD ;   Yun Liu   5 * , DD

1 School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China

2 University College London, London, United Kingdom

3 The Pervasive Communication Center, Purple Mountain Laboratories, Nanjing, China

4 Nanjing University of Posts and Telecommunications, Nanjing, China

5 The First Affiliated Hospital of Nanjing Medical University, Nanjing, China

*these authors contributed equally

Corresponding Author:

  • Yun Liu, DD
  • The First Affiliated Hospital of Nanjing Medical University
  • 300 Guangzhou Road
  • Nanjing 210036
  • China
  • Phone: 86 83714511
  • Email: yun_liu@njmu.edu.cn