Chinese Journal of Nursing ›› 2026, Vol. 61 ›› Issue (10): 1435-1440.DOI: 10.3761/j.issn.0254-1769.2026.10.019

• Review • Previous Articles    

Applications of artificial intelligence in clinical nursing decision support systems:research progress and implications

DUAN Difei1(), HE Lingxiao2, ZHU Hong3, JIANG Yan3()   

  1. 1 Department of NephrologySichuan University West China HospitalChengdu 610000, China
    2 Trauma CenterSichuan University West China HospitalChengdu 610000, China
    3 Department of NursingSichuan University West China HospitalChengdu 610000, China.
  • Received:2025-11-05 Online:2026-05-20 Published:2026-05-09
  • * Corresponding author: JIANG Yan,E-mail:hxhljy2018@163.com
  • Funding program:
    West China Hospital of Sichuan University “1-3-5 Project” Artificial Intelligence Program(ZYAI124029)

人工智能在临床护理决策支持中的应用进展

段棣飞1(), 何凌霄2, 朱红3, 蒋艳3()   

  1. 1 四川大学华西医院肾脏内科 成都市 610000
    2 四川大学华西医院创伤医学中心 成都市 610000
    3 四川大学华西医院护理部 成都市 610000
  • 通讯作者: 蒋艳,E-mail:hxhljy2018@163.com
  • 作者简介:段棣飞:男,硕士,主管护师,E-mail:duandifei89@wchscu.cn
    第一联系人:

    段棣飞:确定选题、文献检索、文献整理及分析、论文撰写及修改;何凌霄、朱红:确定选题、文献分析及论文修改;蒋艳:论文修改及指导

  • 基金资助:
    四川大学华西医院“1-3-5工程”人工智能项目(ZYAI124029)

Abstract:

By leveraging technologies such as machine learning and natural language processing,the deep integration of artificial intelligence(AI) with clinical nursing decision support systems can assist nurses in assessment,diagnosis,planning,implementation,and evaluation,thereby enabling more accurate prediction of nursing risks,optimization of care plans,improvement in the quality and efficiency of nursing care,and the delivery of individualized,precision care. This article systematically summarizes recent advances in the application of AI to clinical nursing decision support across different settings,and discusses the associated challenges and future directions from the data integration,and development and maintenance,with the aim of providing a reference for the subsequent development and optimization of clinical nursing decision support systems.

Key words: Clinical Decision Support Systems, Artificial Intelligence, Nursing Care, Review

摘要:

通过机器学习、自然语言处理等技术,促进人工智能与临床护理决策支持系统的深度融合,可辅助护士进行护理评估、诊断、计划、实施、评价,从而精准预测护理风险、优化护理方案、提升护理质量与效率,实现个性化精准照护。该文系统梳理了人工智能在不同情境下临床护理决策支持中的应用情况,并从数据整合、开发及维护等方面提出应用挑战与展望,旨在为后续临床护理决策支持系统的开发、优化提供参考。

关键词: 临床决策支持系统, 人工智能, 护理, 综述