Emergency medical supply planning considering prepositioning and dynamic in-kind donation management in healthcare coalitions.

IF 3 3区 医学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Risk Analysis Pub Date : 2024-10-24 DOI:10.1111/risa.17667
Qingyi Wang, Renshan Zhang, Li Luo
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Abstract

This study tackles an integrated emergency medical supply planning problem, which incorporates supply prepositioning and dynamic in-kind donation management in healthcare coalitions. Although this problem is vital for field practice, it is not investigated in the existing emergency supply planning literature. To fill the gap, we propose a two-stage stochastic programming model, which facilitates the planning of emergency medical supply prepositioning before disasters and dynamic supply transshipment and in-kind donation solicitation and distribution after disasters. With a case study on the healthcare coalition of West China Hospital in Sichuan Province of China under the background of the COVID-19 epidemic, the proposed model and seven comparison models are optimally solved to show the effectiveness and benefits of our model. We conduct sensitivity analysis to generate managerial insights and policy suggestions for better emergency medical supply management practices in healthcare coalitions.

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考虑到医疗联盟中的预置和动态实物捐赠管理的紧急医疗供应规划。
本研究探讨了一个综合紧急医疗供应规划问题,其中包括医疗联盟中的供应预置和动态实物捐赠管理。虽然这一问题对现场实践至关重要,但现有的应急供应规划文献并未对其进行研究。为了填补这一空白,我们提出了一个两阶段随机规划模型,该模型有助于规划灾前的紧急医疗物资预置以及灾后的动态物资转运和实物捐赠募集与分配。通过对 COVID-19 疫情背景下中国四川省华西医院医疗联盟的案例研究,对提出的模型和七个对比模型进行了优化求解,以显示我们模型的有效性和优势。我们进行了敏感性分析,为医疗联盟中更好的应急医疗供应管理实践提供了管理启示和政策建议。
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来源期刊
Risk Analysis
Risk Analysis 数学-数学跨学科应用
CiteScore
7.50
自引率
10.50%
发文量
183
审稿时长
4.2 months
期刊介绍: Published on behalf of the Society for Risk Analysis, Risk Analysis is ranked among the top 10 journals in the ISI Journal Citation Reports under the social sciences, mathematical methods category, and provides a focal point for new developments in the field of risk analysis. This international peer-reviewed journal is committed to publishing critical empirical research and commentaries dealing with risk issues. The topics covered include: • Human health and safety risks • Microbial risks • Engineering • Mathematical modeling • Risk characterization • Risk communication • Risk management and decision-making • Risk perception, acceptability, and ethics • Laws and regulatory policy • Ecological risks.
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