ORintelligence LLC, Houston, TX, United States of America.
LaSIE, UMR CNRS 7356, University of la Rochelle, La Rochelle, France.
PLoS One. 2020 Nov 30;15(11):e0242183. doi: 10.1371/journal.pone.0242183. eCollection 2020.
We present a computational model of workflow in the hospital during a pandemic. The objective is to assist management in anticipating the load of each care unit, such as the ICU, or ordering supplies, such as personal protective equipment, but also to retrieve key parameters that measure the performance of the health system facing a new crisis. The model was fitted with good accuracy to France's data set that gives information on hospitalized patients and is provided online by the French government. The goal of this work is both practical in offering hospital management a tool to deal with the present crisis of COVID-19 and offering a conceptual illustration of the benefit of computational science during a pandemic.
我们提出了一种在大流行期间医院工作流程的计算模型。目的是帮助管理人员预测每个护理单元（如 ICU）的负荷，或订购用品，如个人防护设备，还可以检索衡量卫生系统在面对新危机时的性能的关键参数。该模型对法国政府在线提供的住院患者信息数据集进行了很好的拟合。这项工作的目的既是实用的，为医院管理提供了一种应对当前 COVID-19 危机的工具，也是在大流行期间计算科学的好处的概念说明。
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