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Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/89850, first published .
Automated Identification of Nursing Diagnoses and Interventions From Nursing Records Using a Retrieval-Augmented Large Language Model Approach: Quantitative Study

Automated Identification of Nursing Diagnoses and Interventions From Nursing Records Using a Retrieval-Augmented Large Language Model Approach: Quantitative Study

Automated Identification of Nursing Diagnoses and Interventions From Nursing Records Using a Retrieval-Augmented Large Language Model Approach: Quantitative Study

Minye Li   1 * , MAST, RN ;   Dianjie Chen   2 * , RN ;   Qun Xiao   3 , RN ;   Zhengji He   3 , RN ;   Yanyan Zhang   4 , RN ;   Jinlan Zhong   1 , RN ;   Yiwei Luo   1 , PhD ;   Hui Ma   1 , PhD

1 Department of Nursing, Chinese People's Liberation Army General Hospital, Beijing, Beijing, China

2 Department of Infectious Diseases, 5th Medical Center, Chinese People's Liberation Army General Hospital, Beijing, Beijing, China

3 School of Nursing, Southern Medical University, Guangzhou, Guangdong, China

4 Department of Respiratory and Critical Care Medicine, 1st Medical Center, Chinese People's Liberation Army General Hospital, Beijing, Beijing, China

*these authors contributed equally

Corresponding Author:

  • Hui Ma, PhD
  • Department of Nursing
  • Chinese People's Liberation Army General Hospital
  • 28 Fuxing Road, Haidian District
  • Beijing, Beijing
  • China
  • Phone: 86 13681197727
  • Email: mahui-28@163.com