与败血症相关的基于人工智能的临床决策支持系统背景下的患者益处:范围审查
Pascal Raszke1, Godwin Denk Giebel1, Jürgen Wasem1
1Institute for Health Care Management and Research, University of Duisburg-Essen, Thea-Leymann-Str. 9, Essen, 45127, Germany, 49 201 183 4395.
Journal of medical Internet research
|January 26, 2026
概括
人工智能 (AI) 临床决策支持系统 (CDSS) 显示出显著的希望,以改善患者在败血症护理中的结果. 本综述对早期治疗和更好的患者结果等好处进行了分类,强调了前性研究的必要性.
科学领域:
- 密集护理医学是密集护理的医学.
- 数字健康数字健康
- 医疗保健中的人工智能
背景情况:
- 全球数字化正在改变医疗保健,人工智能 (AI) 取得了重大进展.
- 人工智能在重症监护医学的整合,特别是用于败血症治疗,为患者提供了潜在的好处.
- 缺乏基于AI的临床决策支持系统 (CDSS) 在败血症护理中的患者相关益处的系统概述.
研究的目的:
- 识别和分类关于基于AI的CDSS在败血症护理中的患者相关益处的证据.
主要方法:
- 对4个电子数据库 (MEDLINE,Embase,ACM,IEEE) 的范围审查和额外的搜索.
- 纳入标准:败血症重点和基于AI的CDSS患者相关益处 (2008-2023年).
- 遵循PRISMA-ScR指南;使用MAXQDA分析数据.
主要成果:
- 其中包括30项研究:20项定量研究 (7项前性,13项后性),1项定性研究,1项混合方法研究,6项综述研究,2篇机构文章.
- 患者相关的好处分为:预测,早期治疗,个性化治疗,改善结果 (SOFA分数,LOS,死亡率),一般护理改善和减少再入院.
- 基于人工智能的CDSS在败血症管理中展示了这些好处类别的潜力.
结论:
- 基于人工智能的CDSS显示出相当大的希望,可以增强重症监护中的患者相关益处,特别是对于败血症.
- 目前的大多数证据来自于回顾性分析.
- 未来的研究应该优先考虑前性研究,以验证基于AI的CDSS在败血症护理中的确定的好处.
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