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

机译:评估勘察政策,用于利用医疗保健大数据的急诊部门网络

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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:急诊部门(ED)负责向抵达医院的患者提供医疗和手术护理。在区域一级,EDS系统可以被视为合作的EDS网络,以最大限度地提高输出(在提供的护理质量方面的结果,平均等待时间,......)和结果。在本文中,我们讨论了基于医疗保健大数据的定量分析如何提供一个工具,可以评估意大利Piedmont运营的急诊部门网络的调度政策:基本思想是以这种方式利用这种方式的群体分发工作量。此外,我们讨论大数据如何能够为健康系统分析提供新的方法论方法。

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