Scheduling to Patients' Appointment Queue with Endogenous No-Shows

Minshan Song, Yulin Zhang
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Abstract

Appointment scheduling has been considered widely in healthcare management. Multi-source of variability makes it challenging to determine the optimal appointment schedules. It is assumed that the probability that a patient behaves not show up is nondecreasing with respect to the system's backlog. An optimal schedule of appointment under queuing system with state dependent no-show rate is considered. Furthermore, we compare the impact of this kind of no-show behavior on the optimal schedule. We conclude that although the expected waiting time for each patient under state dependent no-show scenario is not much higher than the scenario when all patients show up, the state dependent no-show behavior will significant increases the overall cost.
内生缺勤患者预约队列的调度
预约安排在医疗保健管理中被广泛考虑。多来源的可变性使得确定最佳的预约时间表具有挑战性。假设患者不出现的概率相对于系统的积压情况是不变的。研究了具有状态依赖缺勤率的排队系统下的最优预约安排。此外,我们比较了这种不出现行为对最优计划的影响。我们得出结论,尽管状态依赖的缺席情况下每个病人的期望等待时间并不比所有病人都到场的情况高,但状态依赖的缺席行为会显著增加总体成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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