No other department influences the workload of a hospital more than the Department of Surgery and in particular, the activities in the operating room. These activities are governed by the master surgical schedule (MSS), which states which patient types receive surgery on which day. In this paper we describe an analytical approach to project the workload for downstream departments based on this MSS. Specifically the ward occupancy distributions, patient admission/discharge distributions, and the distributions for ongoing interventions/treatments is computed. Recovering after surgery requires the support of multiple departments, such as nursing, physiotherapy, rehabilitation and long term care. With our model, managers from these departments can determine their workload by aggregating tasks associated with recovering surgical patients. The model, which supported the development of a new MSS at the Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, provides the foundation for a decision support tool to relate downstream hospital departments to the operating room.
|Place of Publication||Enschede|
|Publisher||Stochastic Operations Research (SOR)|
|Number of pages||15|
|ISBN (Print)||ISSN 1874-4850|
|Publication status||Published - Nov 2009|
|Name||Internal Report (Memorandum)|
|Publisher||University of Twente, Department of Applied Mathematics|
- Surgical Scheduling
- Ward occupancy
Vanberkel, P. T., Boucherie, R. J., Hans, E. W., Hurink, J. L., van Lent, W. A. M., van Lent, W. A. M., ... van Harten, W. H. (2009). An exact approach for relating recovering surgical patient workload to the master surgical schedule. (Internal Report (Memorandum); No. 1908). Enschede: Stochastic Operations Research (SOR).