在家庭医疗保健路由和安排中最大限度地减少总加权延迟,并优先考虑患者
Vahid Akbari1, İhsan Sadati2,3, F Sibel Salman4
1Nottingham University Business School, University of Nottingham, Jubilee Campus, Nottingham, NG8 1BB UK.
概括
这项研究优化了家庭医疗保健路由和安排,以尽量减少患者等待时间. 一个新的整数编程模型和一个快速的元启发算法有效地解决复杂的医疗保健物流问题.
科学领域:
- 运营研究 运营研究
- 医疗保健管理的管理
- 优化物流的优化物流.
背景情况:
- 家庭医疗保健服务需要为多个提供者团队提供高效的路由和调度.
- 基于紧迫性的患者优先考虑对于有效的服务提供至关重要.
- 现有的模型经常将多个旅行维修工问题概括为.
研究的目的:
- 开发和评估解决家庭医疗保健路由和调度问题的方法.
- 为了最大限度地减少总权重患者等待时间,反映分拣水平.
- 在医疗保健背景下解决多个旅行维修工问题的普遍性.
主要方法:
- 一个基于级别的整数编程 (IP) 模型,适用于小到中等实例.
- 一个使用定制保存程序和可变邻里搜索更大的实例的元启发算法.
- 从车辆路线文献中对各种问题实例进行评估.
主要成果:
- IP模型在几个小时内最佳地解决了中小型实例.
- 超启发算法在几秒钟内实现所有实例大小的最佳解决方案.
- 一个关于伊斯坦布尔COVID-19患者的案例研究提供了实用的见解.
结论:
- 拟议的IP模型和元启发式有效用于家庭医疗保健路由和调度.
- 对大规模问题而言,元启发式提供了显著的速度优势.
- 这些发现为医疗保健规划人员和物流经理提供了宝贵的见解.
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