人工智能的应用可以提高急救部门的选性能吗?
Grzegorz Waligora1, Robert Sherwin2, Zachary Soucy3
1Department of Emergency Medicine, Medical University of Gdansk, Poland.
The Journal of emergency medicine
|September 30, 2025
概括
人工智能 (AI) 可以改善紧急部门 (ED) 的分拣. 基于人工智能的系统在识别需要重症监护的患者方面表现有前途,提高了整体ED性能和患者的治疗结果.
科学领域:
- 医疗信息学 医疗信息学
- 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:
- 紧急诊所 (ED) 过度拥挤是一个全球性问题,导致护理延迟和患者的不良结果.
- 由于微妙的症状,当前的分拣系统难以识别重症患者.
- 人工智能 (AI) 具有提高ED临床医生的患者评估能力的潜力.
研究的目的:
- 系统地审查有关人工智能的有效性,以提高紧急部门的分拣性能的文献.
- 为了回答这个问题:"人工智能的应用可以提高急救部门的分拣性能吗?"
主要方法:
- 使用PubMed进行了系统的文献审查.
- 纳入标准集中在过去5年的研究,涉及人类受试者,用英语,并使用关键词:人工智能,急诊室,选.
- 最初共有211个结果被确定,最终全部审查了38篇文章.
主要成果:
- 在文献搜索中,发现了211篇相关文章.
- 在初步选后,62篇文章被认为可能相关.
- 根据它们对研究问题的响应性,选出了38篇文章进行全面审查.
结论:
- 新出现的证据表明,基于人工智能的ED分拣系统的性能优于传统方法.
- 这些人工智能系统在预测成人和儿科患者需要重症监护,手术和入院的需求方面展示了队列特定优势.
- 人工智能具有很大的潜力,可以优化紧急部门的患者流动和资源配置.
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