人工智能增强护士实践者的临床推理:系统性审查
Su-Ying Yu1, Hui-Ping Lin1, Ying-Mai Kung2
1Department of Nursing, College of Nursing, Chang Gung University of Science and Technology, Taoyuan, Taiwan.
Nurse education in practice
|January 18, 2026
概括
人工智能 (AI) 工具可以增强执业护士 (NP) 的临床推理,提高诊断准确性和效率. 然而,安全实施需要验证,道德考虑和数字素养培训才能有效使用.
科学领域:
- 护理信息学 护理信息学
- 临床决策支持系统 临床决策支持系统
- 医疗保健中的人工智能
背景情况:
- 执业护士 (NP) 需要强大的临床推理技能.
- 人工智能 (AI) 工具在支持NP能力发展方面显示出潜力.
- 在对人工智能增强的临床推理的系统审查中存在一个显著的差距,专门针对NP.
研究的目的:
- 在NP中系统地审查和综合AI增强的临床推理证据.
- 确定AI对NP临床推理过程的应用和影响.
- 评估AI干预在NP实践中的有效性和局限性.
主要方法:
- 按照PRISMA 2020指南进行系统审查.
- 在PubMed,Embase和CINAHL数据库中进行全面搜索,直到2025年7月.
- 包括13项研究 (定量,质量和系统审查),检查AI干预对NP临床推理的干预,并对偏差评估的风险进行评估.
主要成果:
- 人工智能应用包括实时监控,决策支持,模拟和大型语言模型.
- 人工智能支持数据收集,假设生成,诊断证明和反射判断.
- 定量数据表明诊断准确度,一致性和效率有所提高;定性数据强调人工智能是诊断推理和以患者为中心的护理的支持工具,强调透明度和整合.
结论:
- 人工智能工具在加强NP临床推理,提高诊断准确性,决策一致性和护理效率方面表现有前途.
- 安全有效的整合需要严格的验证,标准化的评估,道德保障和数字素养.
- 局限性包括各种人工智能应用和依赖基于模拟的证据,而不是真实世界的临床数据.
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