Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1007/s10951-020-00655-6 | JOURNAL OF SCHEDULING |
Keywords | DocType | Volume |
Healthcare management, Efficiency in health, Operating theatre planning and scheduling, Robust | Journal | 24 |
Issue | ISSN | Citations |
1 | 1094-6136 | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Belinda Spratt | 1 | 0 | 0.34 |
| Erhan Kozan | 2 | 315 | 32.28 |