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EMERGENCY DEPARTMENTS NURSE ALLOCATION TO FACE A PANDEMIC INFLUENZA OUTBREAK

机译:急诊部门护士分配面对流行性流感爆发

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This study proposes a nurse allocation policy to manage patient overflow during a pandemic influenza outbreak. The objective is to minimize the number of patients waiting in queue to be treated for the virus while maximizing patient flow. The model is built using ARENA simulation software and OptQuest heuristic optimization to propose various combinations for the number of nurses needed for healthcare delivery. Results are compared with a basic setting that closely emulates the resources and components in a Veteran's Hospital. The proposed method significantly reduces the number of patients waiting in queue (between 4 to 37 percent on average) for the simulated zones. ARENA process analyzer was used to evaluate various scenarios for nurse availability. Sensitivity on the results for these changes was tested by increasing the flow of patients through the system.
机译:本研究提出了一种在大流行流感爆发期间管理患者溢出的护士分配政策。目的是最大限度地减少等待队列的患者的数量,同时最大化患者流动。该模型是使用竞技场仿真软件和OptQuest启发式优化构建的,以提出医疗保健交付所需的护士数量的各种组合。结果与基本设置进行了比较,以密切地模拟退伍军人医院中的资源和组成部分。所提出的方法显着减少了队列等待的患者的数量(平均平均介于4%至37%之间)。竞技场进程分析仪用于评估护士可用性的各种情况。通过增加患者通过系统的流动来测试对这些变化结果的敏感性。

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