人工智能时代的风险管理和患者安全:系统审查
Michela Ferrara1, Giuseppe Bertozzi2, Nicola Di Fazio1
1Department of Anatomical, Histological, Forensic and Orthopaedic Sciences, Sapienza University of Rome, 00161 Rome, Italy.
Healthcare (Basel, Switzerland)
|March 12, 2024
概括
人工智能 (AI) 可以通过改善各种医疗保健机构的临床风险管理来提高患者安全. 这次系统审查发现,人工智能对于预防事件和改善事件报告是有价值的,尽管人类监督仍然至关重要.
科学领域:
- 医疗保健系统工程 系统工程
- 医疗信息学 医疗信息学
- 患者安全研究 患者安全研究
背景情况:
- 医疗保健系统是复杂的网络,其中多种因素可能会危及患者的安全.
- 有效的临床风险管理对于医疗机构至关重要.
- 人工智能 (AI) 为增强临床风险管理提供了潜在的解决方案.
研究的目的:
- 系统地审查人工智能 (AI) 在临床风险管理中的应用现状.
- 分析AI对预防各种类型的患者安全事件的影响.
- 根据事件类型对AI在风险管理中的作用进行分类.
主要方法:
- 按照PRISMA指南进行了一次系统的文献审查.
- 在SCOPUS和Medline (PubMed) 数据库中进行了搜索.
- 从最初的297项已识别的研究中,包括了36篇文章.
主要成果:
- 人工智能应用在三个主要事件领域被确定:临床过程,与医疗相关的感染和药物错误.
- 人工智能还在改善事件报告系统方面显示出显著的实用性.
- 该审查确定了AI在各种临床环境中的横向适用性.
结论:
- 人工智能是提高患者安全和改善临床风险管理的有希望的工具.
- 人工智能可以帮助预防临床事件和分析风险识别工具.
- 虽然人工智能提供了巨大的好处,但人类的监督和技能在应用中仍然是不可或缺的.
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