智能诊所护士安排考虑护士与医生配对以及护士的偏好
Yu-Chung Tsao1,2, Danny Chen3,4, Feng-Jang Hwang5
1Department of Industrial Management, National Taiwan University of Science and Technology, Taipei, Taiwan. yctsao@mail.ntust.edu.tw.
Journal of medical systems
|August 12, 2024
概括
这项研究引入了一种新的混合元启发方法来解决护士安排问题 (NSP),显著提高护士的满意度和运营效率. 这种新方法可以减少93%的调度时间,并提高21%的满意度.
科学领域:
- 运营研究 运营研究
- 医疗保健管理的管理
- 计算机科学 计算机科学
背景情况:
- 护士安排问题 (NSP) 是医疗保健中的一个关键挑战,由于苛刻的工作条件,由于护士短缺而加剧.
- 优化护士时间表对于医院效率和员工福祉至关重要.
研究的目的:
- 为NSP开发一种有效的解决方案,最大限度地提高护士的满意度.
- 为了解决包括政府法律,医院法规和护士偏好在内的限制.
主要方法:
- 提出了一个混合的元启发算法,并进行了计算测试.
- 该算法在现实世界诊所中实施,作为一个案例研究.
主要成果:
- 混合元启发在计算时间和解决方案质量方面超过了现有的方法和手动调度.
- 实施的技术减少了93%的日程安排时间,并增加了21%的日程满意度.
结论:
- 开发的调度技术显著提高了运营效率和服务质量.
- 这种方法为NSP提供了实用和有效的解决方案,改善了医院运营和护士福祉.
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