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首页> 外文期刊>Journal of biomedical informatics. >Mapping patient path in the Pediatric Emergency Department: A workflow model driven approach
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Mapping patient path in the Pediatric Emergency Department: A workflow model driven approach

机译:绘制儿科急诊科的患者路径:工作流模型驱动的方法

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The workflow models of the patient journey in a Pediatric Emergency Department (PED) seems to be an effective approach to develop an accurate and complete representation of the PED processes. This model can drive the collection of comprehensive quantitative and qualitative service delivery and patient treatment data as an evidence base for the PED service planning. Our objective in this study is to identify crowded situation indicators and bottlenecks that contribute to over-crowding. The greatest source of delay in patient flow is the waiting time from the health care request, and especially the bed request to exit from the PED for hospital admission. It represented 70% of the time that these patients occupied in the PED waiting rooms. The use of real data to construct the workflow model of the patient path is effective in identifying sources of delay in patient flow, and aspects of the PED activity that could be improved. The development of this model was based on accurate visits made in the PED of the Regional University Hospital Center (CHRU) of Lille (France). This modeling, which has to represent most faithfully possible the reality of the PED of CHRU of Lille, is necessary. It must be detailed enough to produce an analysis allowing to identify the dysfunctions of the PED and also to propose and to estimate prevention indicators of crowded situations. Our survey is integrated into the French National Research Agency (ANR) project, titled: "Hospital: Optimization, Simulation and avoidance of strain" (HOST).(1) (C) 2014 Elsevier Inc. All rights reserved.
机译:儿科急诊科(PED)中患者旅程的工作流程模型似乎是开发准确,完整地表示PED过程的有效方法。此模型可以推动收集全面的定量和定性服务以及患者治疗数据,以此作为PED服务计划的依据。我们在这项研究中的目的是确定拥挤的情况指标和导致过度拥挤的瓶颈。延迟病人流的最大原因是从医疗请求开始的等待时间,尤其是从PED出院进入医院的床位请求。这些患者占PED候诊室的时间占70%。使用真实数据构建患者路径的工作流模型可有效地识别患者流延迟的根源,以及可以改善的PED活动方面。该模型的开发基于对法国里尔地区大学医院中心(CHRU)的PED的准确访问。这种建模必须尽可能忠实地代表里尔CHRU的PED的实际情况,这是必要的。它必须足够详细,以进行分析以识别PED的功能障碍,并提出和估计拥挤情况的预防指标。我们的调查已集成到法国国家研究局(ANR)项目中,该项目名为:“医院:优化,模拟和避免应变”(HOST)。(1)(C)2014 Elsevier Inc.保留所有权利。

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