Hospital flood emergency management planning using Markov models and discrete-event simulation

IF 1.5 Q3 HEALTH CARE SCIENCES & SERVICES Operations Research for Health Care Pub Date : 2021-09-01 DOI:10.1016/j.orhc.2021.100310
Afafe Zehrouni , Vincent Augusto , Thierry Garaix , Raksmey Phan , Xiaolan Xie , Sophie Denis , Michel Gentile
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引用次数: 3

Abstract

Disasters such as major floods affect all part of the globe. Hospital and healthcare structures are critical resources during such event and do not always benefit of emergency preparedness. When hospitals are impacted by the disaster, it puts a strain on the system and a reorganization of all available hospitals on a given territory is necessary. As part of case study applied to the impact of floods on the Île-De-France region’s health system, we present in this paper a simulation model that evaluates healthcare emergency plan by combining the healthcare process with the flood dynamics. The results can be used to elaborate an optimized strategy for evacuation and transfer operations. We provide a case study including several medical specialties and quantify the impact of several flood scenarios on the healthcare system.

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基于马尔可夫模型和离散事件模拟的医院洪水应急管理规划
大洪水等灾害影响全球各地。在这类事件中,医院和保健机构是关键资源,但并非总能从应急准备中受益。当医院受到灾难的影响时,它会给系统带来压力,因此有必要对特定地区的所有现有医院进行重组。作为洪水对Île-De-France地区卫生系统影响的案例研究的一部分,我们提出了一个将卫生保健过程与洪水动力学相结合来评估卫生保健应急计划的模拟模型。研究结果可用于制定疏散和转移操作的优化策略。我们提供了一个包括几个医学专业的案例研究,并量化了几个洪水场景对医疗保健系统的影响。
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来源期刊
Operations Research for Health Care
Operations Research for Health Care HEALTH CARE SCIENCES & SERVICES-
CiteScore
3.90
自引率
0.00%
发文量
9
审稿时长
69 days
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