Demand for healthcare is increasing rapidly. To meet demand, we must improve the efficiency of our public health services. We present a mixed integer programming formulation that simultaneously tackles the integrated master surgical schedule and surgical case assignment problems under a modified block scheduling policy. That is, we allocate specialties, surgeons, and patients to surgical time blocks. We consider volatile surgical durations and non-elective arrivals while applying a rolling horizon approach to adjust the schedule after cancellations, equipment failure, or new arrivals on the waiting list. The model is based on a case study of an Australian public hospital with a large surgical department. The formulation includes significant detail and provides practitioners with a globally implementable model. We produce good feasible solutions in short amounts of computational time with a constructive heuristic and two hyper-metaheuristics. Using a rolling horizon schedule increases patient throughput and can help reduce waiting lists.

中文翻译：

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一种提高手术室效率的综合滚动水平方法

对医疗保健的需求正在迅速增加。为了满足需求，我们必须提高公共卫生服务的效率。我们提出了一个混合整数规划公式，它在修改后的块调度策略下同时解决了集成的主手术调度和手术病例分配问题。也就是说，我们将专科医生、外科医生和患者分配到手术时间段。我们考虑了不稳定的手术持续时间和非选择性到达，同时应用滚动地平线方法在取消、设备故障或等待名单上的新到达后调整时间表。该模型基于对拥有大型外科部门的澳大利亚公立医院的案例研究。该公式包括重要的细节，并为从业者提供了一个全球可实施的模型。我们使用建设性启发式和两个超元启发式方法在短时间内生成良好的可行解决方案。使用滚动时间安排可增加患者吞吐量并有助于减少等候名单。