电子健康 (eHealth) 和基于人工智能的工具,以优化医院患者流动:一个范围审查
Abigail C R Thomas1, Emily E Giroux2,3, Lesley J J Soril4
1University of Calgary, Calgary, AB.
Journal of patient safety
|May 23, 2025
概括
实施电子健康 (eHealth) 和人工智能 (AI) 工具可以改善医院患者流动. 障碍往往与资源有关,而社会影响可以促进收养. 对实施因素的一致报告对于未来的研究至关重要.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 医院管理 医院管理
背景情况:
- 医院拥堵是一个越来越大的挑战.
- 电子健康和人工智能工具为医院患者流动提供了潜在的解决方案.
- 在这些技术的实际实施中存在变化.
研究的目的:
- 识别和综合有关实施电子健康和人工智能工具来管理医院患者流量的证据.
- 分类影响采用这些技术的障碍和促进因素.
主要方法:
- 在五个数据库中进行了系统的文献搜索,使用与患者流动和eHealth/AI相关的关键词.
- 包括报告实施决定因素或患者流量指标的研究.
- 使用理论领域框架分析了实施决定因素.
主要成果:
- 包括25项研究,主要是近乎实验的,来自美国.
- 出现了四个工具类别,将其集成到电子健康记录中是最常见的.
- 环境环境和资源是常见的障碍;社会影响是关键的促进者.
结论:
- 本次审查对在医院患者流中实施电子卫生/人工智能工具的障碍和促进因素进行了分类.
- 未来的研究应该利用已确定的措施来报告工具的有效性.
- 对实施决定因素的标准化报告是必要的,以加强采用努力.
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