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Evaluating the Dispatching Policies for a Regional Network of Emergency Departments Exploiting Health Care Big Data

机译:评估急诊部门利用医疗大数据的区域网络的调度政策

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The Emergency Department (ED) is responsible to provide medical and surgical care to patients arriving at the hospital in need of immediate care. At the regional level, the EDs system can be seen as a network of EDs cooperating to maximise the outputs (number of patients served, average waiting time, ...) and outcomes in terms of the provided care quality. In this paper we discuss how quantitative analysis based on health care big data can provide a tool to evaluate the dispatching policies for the network of emergency departments operating in Piedmont, Italy: the basic idea is to exploit clusters of EDs in such a way to fairly distribute the workload. Further, we discuss how big data can enable a novel methodological approach to the health system analysis.
机译:急诊科(ED)负责为到达医院急需护理的患者提供医疗和外科护理。在区域一级,急诊室系统可以看作是急诊室网络,它们协作以提供的护理质量最大化产出(服务的患者人数,平均等待时间……)和结果。在本文中,我们讨论了基于医疗大数据的定量分析如何为评估意大利皮埃蒙特的急诊室网络的调度策略提供一种工具:基本思想是以合理的方式利用急诊室集群分配工作量。此外,我们讨论了大数据如何使卫生系统分析能够采用新颖的方法论方法。

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