一个基于优化的框架,可以在流行病时动态安排医院病床
Marwan Shams Eddin1, Hussein El Hajj2
1Department of Systems Engineering and Operations Research, George Mason University, Fairfax, VA 22030, USA.
Healthcare (Basel, Switzerland)
|September 27, 2025
概括
这项研究提出了一个优化框架,可以在流行病期间动态安排医院床位,通过尽量减少患者拒绝和改善资源配置,将医疗保健成本降低50%以上.
科学领域:
- 运营研究 运营研究
- 公共卫生 公共卫生
- 流行病学 流行病学
背景情况:
- 流行病压力医院容量,增加死亡率和成本.
- 有效的资源管理对于医疗保健系统的弹性至关重要.
研究的目的:
- 为动态医院床位安排制定一个优化框架.
- 尽量减少医疗保健总成本,包括患者拒绝和物流.
主要方法:
- 综合标准床位,缓冲容量,野外医院和转移.
- 连接SEIRD流行病预测与对需求不确定性的强大优化.
- 为计算效率和衍生结构性质进行了重构的问题.
主要成果:
- 框架在COVID-19病例研究中将医疗保健成本降低了50%以上.
- 通过降低患者拒绝率,实现了显著的成本降低.
- 提供了关于开设野外医院和分配缓冲床的指导.
结论:
- 将流行病预测与规范性优化相结合,可以提高危机应对能力.
- 该框架提高了医疗保健系统的弹性,并为政策提供了信息.
- 动态床位安排对于有效管理流行病激增至关重要.
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