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

Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (1747) Electronic Health Records (1735) Nursing in a Hospital Setting (234) Generative Language Models Including ChatGPT (1527) AI Language Models in Health Care (749) Ambient AI Scribes and AI-Driven Documentation Technologies (112)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/81604, first published .
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Integrating a Large Language Model to Streamline Nursing Handover Documentation Across Multiple Hospitals in Taiwan: Development and Implementation Study

Integrating a Large Language Model to Streamline Nursing Handover Documentation Across Multiple Hospitals in Taiwan: Development and Implementation Study

Authors of this article:

Ray-Jade Chen1, 2, 3 Author Orcid Image ;   Mai-Szu Wu4, 5, 6 Author Orcid Image ;   Lung-Wen Tsai7, 8, 9 Author Orcid Image ;   Shy-Shin Chang10, 11 Author Orcid Image ;   Shu-Tai Shen Hsiao12, 13 Author Orcid Image ;   Yu-Sheng Lo14, 15 Author Orcid Image
Article Authors Cited by (5) Tweetations (5) Metrics Author Video

Journals

  1. . LLM Hallucinations in Clinical Documentation: Scoping Review with ☸️SAIMSARA. SAIMSARA Journal 2026;1(3) View
  2. Shankar R. Large Language Models in Post-Acute and Long-Term Care: Bridging Promise and Practice. Journal of the American Medical Directors Association 2026:106379 View
  3. Ji Q, Wu Y, Yang M, Liu J, Zhang X, Lin Y, Hu W. Integration, challenges, and future of artificial intelligence in critical care medicine: comprehensive applications from predictive models to clinical integration. Frontiers in Medicine 2026;13 View
  4. Zhang L, Huai P, Xu R, Sun J, Jin R, Lv H. Application of Large Language Models in Chronic Disease Care: Mixed Methods Systematic Review and Thematic Synthesis. Journal of Medical Internet Research 2026;28:e90744 View
  5. Zhang X, Wang Q, Liu B, Sang X, Wei S. The Performance of Large Language Models in Extracting Intestinal Symptoms From Electronic Health Records: Retrospective Observational Study. Journal of Medical Internet Research 2026;28:e98580 View