基于人工智能的临床决策支持在急诊室:一个范围审查
Hashim Kareemi1,2, Krishan Yadav2,3,4, Courtney Price3
1Department of Emergency Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
概括
在急诊室 (ED) 中,用于临床决策支持 (CDS) 的人工智能 (AI) 正在快速增长,但大多数工具仍处于早期开发阶段. 需要进一步的研究来克服AI-CDS在ED实施的障碍.
科学领域:
- 紧急医疗 紧急医疗
- 人工智能的人工智能
- 临床决策支持 临床决策支持
背景情况:
- 基于人工智能 (AI) 的临床决策支持 (CDS) 显示出增强紧急部门 (ED) 关键决策的希望.
- 目前AI-CDS工具在ED中的实施状态和发展轨迹尚不清楚.
研究的目的:
- 绘制当前AI-CDS工具的地图,用于ED中的个人患者护理.
- 确定这些AI-CDS工具所实现的发展阶段.
主要方法:
- 进行了全面的范围审查,搜索了五个主要数据库和从2010年到2023年的灰色文献.
- 审查的重点是人工智能用于ED的预后,诊断和治疗决策的应用,遵守乔安娜·布里格斯研究所和PRISMA指南.
主要成果:
- 在5168个确定的记录中,包括605项研究,从2021-2023年出版物显著增加.
- 预后结果是最常见的应用 (44.6%),其次是诊断 (31.9%) 和处置 (19%).
- 绝大多数研究 (94.5%) 处于临床前发展阶段,只有很小一部分 (5.5%) 进入后期阶段.
结论:
- 在ED中对AI-CDS的研究量在各种应用中迅速扩大.
- 然而,研究和先进的开发或实施之间存在很大的差距,这凸显了需要确定成功整合的障碍和促进者的需要.
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