ISSN 2097-6046(网络)
ISSN 2096-7446(印刷)
CN 10-1655/R
主管:中国科学技术协会
主办:中华护理学会

中华急危重症护理杂志 ›› 2026, Vol. 7 ›› Issue (5): 636-640.doi: 10.3761/j.issn.2096-7446.2026.05.020

• 综述 • 上一篇    

大语言模型在急危重症护理中应用的研究进展

甄海燕1(), 秦子岚1, 张志刚2,*(), 吴雨晨2, 岳伟岗2, 安玉燕2   

  1. 1 兰州大学第一医院普外科 兰州市 730011
    2 兰州大学第一医院重症医学科 兰州市 730011
  • 收稿日期:2025-07-15 出版日期:2026-05-10 发布日期:2026-04-28
  • 通讯作者: *张志刚,E-mail:zzg3444@163.com
  • 作者简介:甄海燕:女,本科,副主任护师,护士长,E-mail:zhy12340512@163.com
    第一联系人:

    甄海燕、张志刚:研究设计、资料收集、论文撰写;秦子岚:论文修改、文献检索;吴雨晨、岳伟岗、安玉燕:研究指导

  • 基金资助:
    兰州大学第一医院院内基金(ldyyyn2020-39)

The application of large language models in emergency and critical care nursing

ZHEN Haiyan1(), QIN Zilan1, ZHANG Zhigang2,*(), WU Yuchen2, YUE Weigang2, AN Yuyan2   

  1. 1 Department of General SurgeryLanzhou University First HospitalLanzhou 730011, China
    2 Department of Critical Care MedicineLanzhou University First HospitalLanzhou 730011, China
  • Received:2025-07-15 Online:2026-05-10 Published:2026-04-28
  • Contact: *ZHANG Zhigang,E-mail:zzg3444@163.com
  • Supported by:
    Intramural Fund of the First Hospital of Lanzhou University(ldyyyn2020-39)

摘要:

随着医工交叉学科的不断深入发展,大语言模型在医学领域中展现出革新潜力,在急危重症护理中,大语言模型的引入在早期诊断与分诊辅助、精准化护理决策支持、医疗文档自动生成及患者健康指导与咨询协助等方面展现出良好效果。该文系统综述大语言模型的技术演进,并着重探讨其在急危重症护理领域的应用现状,同时,深入分析大语言模型整合至医疗保健系统所面临的数据隐私与安全、法律与伦理、模型的可靠性等问题,以期为推动人工智能技术在急诊与重症护理中的规范开展提供参考。

关键词: 人工智能, 大语言模型, 急诊医学, 重症医学, 护理

Abstract:

With the continuous advancement of interdisciplinary research in medical engineering,large language models have demonstrated innovative potential in the medical field. In emergency and critical care clinical nursing,the integration of large language models has shown remarkable efficacy in disease diagnosis assistance,clinical nursing decision support,medical documentation automation,and patient health guidance and consultation. This paper systematically reviews the technological evolution of large language models,focusing on their current applications in emergency and critical care medicine. It also conducts an in-depth analysis of challenges in incorporating large language models into healthcare systems,including data privacy and security,legal and ethical considerations and model reliability,aiming to provide a reference for the standardized implementation of artificial intelligence technology in emergency and critical care nursing.

Key words: Artificial Intelligence, Large Language Model, Emergency Medicine, Critical Care Medicine, Nursing