医疗住院轮流安排的股权促进整数编程方法
Shutian Li1, Karmel S Shehadeh2, Frank E Curtis1
1Department of Industrial and Systems Engineering, Lehigh University, Bethlehem, PA, USA.
Health care management science
|November 22, 2025
概括
我们开发了新的整数编程方法来解决居民到轮换分配问题,优化时间表并提高医疗住院人员在满足假期请求方面的公平性.
科学领域:
- 运营研究 运营研究
- 医学教育 医学教育
- 计算机科学 计算机科学
背景情况:
- 居民到轮换分配问题 (RRAP) 是一个复杂的问题,涉及许多约束和偏好.
- 手动安排方法耗时,可能导致居民满意度的不平等,特别是在假期请求方面.
研究的目的:
- 为RRAP开发新的整数编程方法.
- 创建一个促进公平的模式,平衡最大限度地满足假期要求,最大限度地减少差异.
- 为实际实施设计一个计算效率高的算法.
主要方法:
- 制定了一个IP模型,反映当前的手动调度实践.
- 开发了一种促进股权的IP对应产品,以解决假期申请差异.
- 提出了帕雷托搜索算法,以有效地找到最佳解决方案.
- 创建了一个用户友好的工具,用于自动生成日程表.
主要成果:
- 拟议的IP方法在计算上是高效的,并且可以实现.
- 促进公平的模式成功地最大限度地满足了度假要求,同时减少了差距.
- 帕雷托搜索算法有效地在实际时间框架内识别帕雷托最佳解决方案.
- 广泛的实验证明了实际的好处和公平的增强.
结论:
- 开发的IP模型和算法比手动RRAP方法有显著的改进.
- 这些方法提高了居民轮流安排的公平性和效率.
- 这种易于使用的工具有助于在学术卫生系统中切实采用.
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