Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/78132, first published .
Detecting Sociodemographic Biases in the Content and Quality of Large Language Model–Generated Nursing Care: Cross-Sectional Simulation Study

Detecting Sociodemographic Biases in the Content and Quality of Large Language Model–Generated Nursing Care: Cross-Sectional Simulation Study

Detecting Sociodemographic Biases in the Content and Quality of Large Language Model–Generated Nursing Care: Cross-Sectional Simulation Study

Nan Bai   1 * , MSc ;   Yijing Yu   1 * , BSc ;   Chunyan Luo   1 * , BSc ;   Si Chen Zhou   1 , MSc ;   Qing Wang   1 , BSc ;   Huijing Zou   1 , PhD ;   Qian Liu   1 , PhD ;   Guanghui Fu   2 , PhD ;   Wei Zhai   3 , ME ;   Qing Zhao   3 , PhD ;   Jianqiang Li   3 , PhD ;   Xinni Wei   1 , PhD ;   Bing Xiang Yang   1, 4, 5 , PhD

1 Center for Wise Information Technology of Mental Health Nursing Research, School of Nursing, Wuhan University, Wuhan, Hubei, China

2 Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, Paris, France

3 College of Computer Science, Beijing University of Technology, Beijing, China

4 Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China

5 Research Center for Lifespan Health, Wuhan University, Wuhan, China

*these authors contributed equally

Corresponding Author:

  • Bing Xiang Yang, PhD
  • Center for Wise Information Technology of Mental Health Nursing Research
  • School of Nursing, Wuhan University
  • No. 115, Donghu Road, Wuchang District
  • Wuhan, Hubei
  • China
  • Phone: +86 15902731922
  • Email: 00009312@whu.edu.cn