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