在患者不出现的情况下,一天内动态重新安排
Aditya Shetty1, Harry Groenevelt1, Vera Tilson2
1Simon Business School, University of Rochester, 500 Joseph C. Wilson Blvd, Rochester, 14627, NY, USA.
Health care management science
|July 10, 2023
概括
这项研究引入了门诊诊所的动态调度,以减少与患者不出现相关的成本. 与传统的静态调度相比,新模型可以将预期成本降低15%.
科学领域:
- 运营研究 运营研究
- 医疗保健管理的管理
- 应用概率学 应用概率学
背景情况:
- 患者没有出现,在门诊中造成不确定性,往往是通过超额预订来管理的.
- 传统的预约安排缺乏灵活性,因为时间是在分配后固定的.
- 通信技术的进步使得任命的动态调整成为可能.
研究的目的:
- 为门诊预约开发一个日内动态调度模型.
- 通过动态调整观察到的不出现来优化预约时间表.
- 通过尽量减少患者等待和提供者置/加班来降低诊所的运营成本.
主要方法:
- 制定作为马尔科夫决策流程 (MDP) 来确定最佳的调度和重新调度政策.
- 通过最短路径算法开发使用"原子"行动进行有效的政策计算的替代配方.
- 从现有文献中使用参数估计的数值研究.
主要成果:
- 拟议的日内动态重定时模型有效地根据实时不出现数据调整预约.
- 该MDP的配方提供了一个最佳的前一天的时间表和一个最优的政策动态更新.
- 最短路径算法为解决最佳政策提供了更有效的方法.
结论:
- 一天内动态调度大大降低了门诊诊所的预期成本.
- 与静态调度方法相比,该模型可降低15%的成本.
- 动态调度利用技术进步提高医疗保健的运营效率.
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