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Minimizing flow-time and time-to-first-treatment in an Emergency Department through simulation

机译:通过仿真最大限度地减少急诊科的流程时间和抢救时间

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Emergency Department management is a resource constrained environment that has gained attention in recent years. An in-depth literature review was conducted and two patient flow models, Virtual Streaming (VS) and Physician Directed Queuing (PDQ), were selected to be contrasted against a FIFO-baseline model using discrete event simulation. Scenarios were constructed by assigning doctors to 4-hour shifts. Model performance was ranked by finding the minimum aggregated time to first treatment (TTFT) of admitted patients and the length of stay (LOS) of discharged patients. The benefits from PDQ were seen largely by Emergency Severity Index (ESI) 4 and 5 patients and the benefits from VS were seen largely by ESI 2 and 3 patients. Results suggest VS for the patient mix used herein when the system is near capacity and the baseline when the system is not near capacity. However, trade-offs and improvements of these models are discussed.
机译:急诊科的管理是一种资源紧张的环境,近年来受到关注。进行了深入的文献综述,并选择了两个患者流程模型,即虚拟流(VS)和医师指导排队(PDQ),以使用离散事件模拟与FIFO基线模型进行对比。方案是通过安排医生轮班4小时来构造的。通过查找入院患者的首次治疗的最短累计时间(TTFT)和出院患者的住院时间(LOS)来对模型性能进行排名。紧急严重程度指数(ESI)4和5患者主要来自PDQ,ESI 2和3患者主要来自VS。结果表明,当系统接近容量时,此处使用的患者混合物的VS,而当系统接近容量时,则显示基线。但是,讨论了这些模型的取舍和改进。

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