首页> 外文会议>International Conference on Modeling, Simulation and Applied Optimization >Physician on call scheduling: Case of a Qatari hospital
【24h】

Physician on call scheduling: Case of a Qatari hospital

机译:预约医生:卡塔尔医院的案例

获取原文

摘要

In this work, we study a real-world problem arising from the operations of a hospital service provider, which we call the master physician scheduling problem. It is a tactical planning problem of assigning physicians with different skills and seniority levels to a set of shifts to achieve a set of specific clinicalon-clinical duties over a time horizon while incorporating as many constraints and physicians / hospital requirements as possible. The constraints include- and not limited to- aspects such as limits on the number of consecutive work hours, number of shifts that should be worked by each physician according to different seniority levels, restrictions on the number of shifts assigned, vacation periods, weekend off requests, in addition to an equal and fair distribution of responsibilities among the physicians. The objectives are to generate physician schedules that satisfy as many physicians' preferences and duty requirements as possible while ensuring optimum usage of available resources to guarantee in turn a better service to the patients. We propose mathematical programming models that represent different variants of this problem. The developed models were tested on a real case from a local government hospital. After comparing the optimal generated solution with the used manual ones, we show that our mathematical approach can significantly reduce the time and effort required to construct master physician schedules that accommodate both physicians and hospital requirements.
机译:在这项工作中,我们研究了由医院服务提供商的运营引起的现实问题,我们称其为“主治医生计划问题”。将具有不同技能和资历水平的医师分配到一组班次以在一段时间内实现一组特定的临床/非临床职责,同时纳入尽可能多的约束条件和医师/医院需求是一个战术规划问题。这些限制包括但不限于以下方面:连续工作时间的限制,每个医师根据不同资历级别应轮班的次数,对轮班次数的限制,假期,周末休假除了在医师之间公平,公正地分配职责外,还要求。目的是生成可以满足尽可能多的医生偏爱和职责要求的医生时间表,同时确保对可用资源的最佳利用,从而保证依次为患者提供更好的服务。我们提出了代表此问题的不同变体的数学编程模型。在当地政府医院的实际案例中对开发的模型进行了测试。在将最佳生成的解决方案与使用的手动解决方案进行比较之后,我们证明了我们的数学方法可以显着减少构建兼顾医生和医院需求的主治医生时间表所需的时间和精力。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号