医疗保健中的人工智能:通过智能系统改变患者安全- 一个系统性审查
Francesco De Micco1,2, Gianmarco Di Palma1,3, Davide Ferorelli4
1Research Unit of Bioethics and Humanities, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Rome, Italy.
Frontiers in medicine
|January 23, 2025
概括
人工智能 (AI) 可以通过检测不良事件和预测错误来增强临床风险管理. 为了安全地整合人工智能以提高患者安全,需要进一步的研究.
科学领域:
- 医疗保健技术 医疗保健技术 医疗保健技术
- 临床风险管理临床风险管理
- 医学中的人工智能
背景情况:
- 医院的不良事件危及患者的安全和信任.
- 医疗错误是全球主要的死亡原因.
- 低报告率和罕见的系统更改阻碍了错误的减少.
研究的目的:
- 探索人工智能 (AI) 在临床风险管理中的潜力.
- 系统地审查人工智能应用程序以提高患者安全.
- 确定AI在减轻医院不良事件中的作用.
主要方法:
- 系统审查遵循PRISMA声明2020指导方针.
- 利用Rayyan进行有效的研究选和选择.
- 包括来自三个在线文献数据库的研究.
主要成果:
- 人工智能,包括机器学习和自然语言处理,在检测不良事件,预测药物错误,评估跌倒风险和预防压力伤害方面表现有前途.
- 人工智能可以提高事件报告的准确性,识别高风险事件,并自动分类.
- 挑战包括社会技术问题,实施障碍以及对标准化的需求.
结论:
- 人工智能在各种临床风险管理应用中表现出有效性.
- 进一步的研究对于安全和一致的AI整合到临床实践中至关重要.
- 完善人工智能工具和解决监管标准是提高患者安全和护理质量的关键.
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