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

Information Retrieval (488) Clinical Informatics (2264) Electronic Health Records (1723) Nursing in a Hospital Setting (234) Generative Language Models Including ChatGPT (1515) AI Language Models in Health Care (743)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/89850, first published .
AI in healthcare: Digital brain visualization over medical chart and nurse

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

Authors of this article:

Minye Li1 Author Orcid Image ;   Dianjie Chen2 Author Orcid Image ;   Qun Xiao3 Author Orcid Image ;   Zhengji He3 Author Orcid Image ;   Yanyan Zhang4 Author Orcid Image ;   Jinlan Zhong1 Author Orcid Image ;   Yiwei Luo1 Author Orcid Image ;   Hui Ma1 Author Orcid Image
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Journals

  1. Lin W, Chen J, Chen Z, Yin T, Guo J, Zeng F. Modeling symptom-acupoint interactions via a heterogeneous graph learning framework for intelligent acupoint recommendation. Chinese Medicine 2026;21(1) View