超越人类错误:在ICU中建立对药物安全的智能弹性
Sung Min Yun1, André van Zundert1,2
1Department of Anaesthesia and Perioperative Medicine, Royal Brisbane and Women's Hospital, Brisbane QLD 4006, Australia.
Healthcare (Basel, Switzerland)
|March 14, 2026
概括
在ICU中,药物错误在很大程度上没有被发现. 人工智能 (AI) 和实施科学提供五层智能安全堆,通过识别高风险患者和自动化护理过渡来提高患者安全.
科学领域:
- 患者安全 患者安全
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
背景情况:
- 在重症监护室 (ICU) 的药物错误对患者安全构成重大风险.
- 传统的自愿报告系统只能检测到不到2%的中小企业,留下了巨大的监测差距.
- 现有的ME检测方法不足以确保ICU患者的安全.
研究的目的:
- 批判性地审查有关人工智能 (AI) 和实施科学的文献,以提高ICU中的药物安全性.
- 提出五层智能安全堆,以弥合药物错误检测中的监控差距.
- 探索AI和社会技术框架如何提高重症监护机构的患者安全.
主要方法:
- 对2000-2025年同行评审文学进行批判性叙事审查.
- 综合关于药物安全,预测分析,生成AI,工程控制和社会技术框架的证据.
- 拟议的五层智能安全堆框架的开发.
主要成果:
- 由于方法上的差异,报告的ME发病率差异很大 (1.32%31.7%).
- 拟议的智能安全堆包括标准化本体学,智能监控,信号优化,生成管理和工程控制.
- 工程控制,如智能互操作性,在管理错误中减少了54.8%.
结论:
- 仅仅依赖错误计数对于可持续的药物安全是不够的.
- 智能安全堆的社会技术整合对于改善ICU患者安全至关重要.
- 药物安全方面的成功应该以救援率来衡量,而不仅仅是错误的流行率.
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