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A simulation model for outpatient appointment scheduling with patient unpunctuality

机译:不守时的门诊预约调度仿真模型

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摘要

This paper is to investigate the appointment system of an outpatient department in a large hospital in China in order to reduce its long patient waiting time. Through a sensitivity analysis using actual data, the study shows that patient unpunctuality and doctor consultation time have significant impacts on the patient waiting time. To facilitate the existing practice without making strong assumptions, a simulation model is developed to identify proper appointment rules for appointment scheduling with severe patient unpunctuality. In specific, four outpatient environments, characterised by a preset appointment time interval with variable doctor consultation times, were simulated and 100 scenarios were run for each environment to identify a proper appointment rule that has the least patient average waiting time (PAWT). Results indicate that PAWT is consistently shorter for environments when patients are punctual and, moreover, is barely affected by the length of appointment time interval. However, for environments with patient unpunctuality, a proper appointment rule could potentially reduce PAWT up to 34% (i.e., reducing the appointment time interval from 1.0 hour to 0.5 hour). The developed simulation model may serve as an efficient tool to enhance outpatient appointment scheduling with patient unpunctuality. Possible extensions to the presented model are also discussed.
机译:本文旨在研究中国某大型医院门诊部的预约制度,以减少其漫长的患者等待时间。通过使用实际数据进行的敏感性分析,研究表明患者守时和医生会诊时间对患者等待时间有重大影响。为了在不作强力假设的情况下促进现有实践,开发了一个仿真模型来识别适当的约会规则,以应对严重的患者违规行为的约会安排。具体而言,模拟了四个门诊环境,这些环境以预设的预约时间间隔和可变的医生咨询时间为特征,并针对每种环境运行100个场景,以识别具有最少患者平均等待时间(PAWT)的适当预约规则。结果表明,在患者准时的情况下,PAWT始终较短,而且,预约时间间隔的长度几乎没有影响。但是,对于患者无法守时的环境,适当的约会规则可能会将PAWT降低多达34%(即,将约会时间间隔从1.0小时减少到0.5小时)。所开发的仿真模型可以用作有效的工具,以提高患者不守时的门诊预约时间。还讨论了对所提供模型的可能扩展。

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