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Using Queue Theory and Load-Leveling Principles to Identify a Simple Metric for Resource Planning in a Pediatric Emergency Department

机译:使用队列理论和负载升级原则来识别儿科急诊部资源规划的简单度量

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Increased waiting time in pediatric emergency departments is a well-recognized and complex problem in a resourcelimited US health care system. Efforts to reduce emergency department wait times include modeling arrival rates, acuity, process flow, and human resource requirements. The aim of this study was to investigate queue theory and load-leveling principles to model arrival rates and to identify a simple metric for assisting with determination of optimal physical space and human resource requirements. We discovered that pediatric emergency department arrival rates vary based on time of day, day of the week, and month of the year in a predictable pattern and that the hourly change in pediatric emergency department waiting room census may be useful as a simple metric to identify target times for shifting resources to better match supply and demand at no additional cost.
机译:儿科急诊部门的等待时间增加是一家批判性的美国医疗保健系统中得到公认和复杂的问题。 减少紧急部门等待时间的努力包括建模抵达率,敏锐度,过程流程和人力资源要求。 本研究的目的是调查队列理论和负载调平原则来模拟到达速率,并识别简单的指标,以协助确定最佳物理空间和人力资源要求。 我们发现,儿科急诊部门到达率根据一天中的一天,一周中的时间,一年中的一个可预测的模式而变化,并且小儿科急诊室候诊室人口普查的每小时变化可能是一个简单的公制来识别 用于将资源转换为更好地匹配供需的目标时间,无需额外费用。

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