An integrated rolling horizon approach to increase operating theatre efficiency
This work addresses efficiency challenges in public healthcare systems, specifically for hospital administrators and practitioners, by providing an implementable model, though it appears incremental as it builds on existing scheduling methods with adaptations for real-world volatility.
The paper tackled the problem of improving operating theatre efficiency by developing a mixed integer programming formulation that integrates master surgical scheduling and surgical case assignment, using a rolling horizon approach to handle uncertainties like cancellations and non-elective arrivals, resulting in increased patient throughput and reduced waiting lists in a case study of an Australian public hospital.
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 (MIP) formulation that simultaneously tackles the integrated Master Surgical Schedule (MSS) and Surgical Case Assignment (SCA) problems. We consider volatile surgical durations and non-elective arrivals whilst applying a rolling horizon approach to adjust the schedule after cancellations, equipment failure, or new arrivals on the waiting list. A case study of an Australian public hospital with a large surgical department is the basis for the model. 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.