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

Viewpoints on and Experiences with Digital Technologies in Health (306) Ethics, Privacy, and Legal Issues (839) Generative Language Models Including ChatGPT (1620) AI Language Models in Health Care (817) Ethical, Legal, and Social Issues in AI (217)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/79922, first published .
Two nurses in blue scrubs review patient data on a tablet and computer screen.

Ethical Imperatives for Retrieval-Augmented Generation in Clinical Nursing: Viewpoint on Responsible AI Use

Ethical Imperatives for Retrieval-Augmented Generation in Clinical Nursing: Viewpoint on Responsible AI Use

Authors of this article:

Xinyi Tu1, 2 Author Orcid Image ;   Chenghao Shi1 Author Orcid Image ;   Peilin Qian3 Author Orcid Image ;   Lizhu Wang1 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Rong J, Liang M, Wang Z, Ye Z, Luo J, Liang Y. Performance and usability of retrieval-augmented large language models for stroke patient and caregiver support. DIGITAL HEALTH 2026;12 View
  2. Enayati M, Priya V, Prochaska E, Sobe K, Wolfien M. From Fine-Tuning to Grounding: Retrieval-Augmented Generation for Biomedical LLMs in Research and Clinical Data Infrastructures. Sci 2026;8(9):266 View

Conference Proceedings

  1. Riad A, Barek M, Shahriar H, Francia III G, Ahamed S, El-Sheikh E, Rawajfih Y. 2026 IEEE International Conference on Digital Health (ICDH). Governance-Aware, Privacy-Preserving Retrieval-Augmented Large Language Models for Clinical Triage Decision Support View