一个参与式的人工智能驱动的轮班安排应用程序,用于改善轮班工作护理人员的睡眠:一个为期4个月的非随机对照研究,采用交叉设计
Tomohide Kubo1, Shun Matsumoto1, Yuki Nishimura1
1Research Center for Overwork-Related Disorders, National Institute of Occupational Safety and Health, Kawasaki, Japan.
Journal of sleep research
|July 18, 2025
概括
一个人工智能驱动的班次安排应用程序通过优化时间表来改善老年护理人员的睡眠质量. 人工智能 (AI) 应用程序与手动调度相比,增强了深度和REM睡眠阶段.
科学领域:
- 职业健康 职业健康 职业健康
- 睡眠医学 睡眠医学
- 人工智能的人工智能
背景情况:
- 轮班工作,特别是老年护理,往往导致睡眠质量差.
- 优化班次安排对于减轻疲劳和改善幸福感至关重要.
研究的目的:
- 评估一个参与式的人工智能 (AI) 驱动的移动应用程序的有效性,用于轮班安排.
- 评估人工智能应用对轮班老年护理人员睡眠质量的影响.
主要方法:
- 一项为期4个月的交叉研究,涉及35名老年护理人员.
- 人工智能生成的时间表与手动创建的时间表的比较.
- 使用环型睡眠追踪器监测睡眠阶段,并使用多层模型进行分析.
主要成果:
- 人工智能驱动的时间表显著改善了深度睡眠 (N3) 和快速眼动 (REM) 睡眠.
- 发现反向旋转的班次和连续的晚班会显著恶化睡眠质量.
- 虽然人工智能减少了向后轮换,但加强员工对工作时间的控制也促进了积极的结果.
结论:
- 参与式人工智能驱动的轮班安排可以提高轮班工作护理人员的睡眠质量.
- 解决特定的调度需求,如避免向后旋转,是关键.
- 人工智能应用程序提供了一个有前途的工具,用于改善基于轮班的职业中的职业健康.
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