Abstract
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 are 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.
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Adan IJBF and Vissers JMH (2002). Patient mix optimisation in hospital admission planning: A case study. Int J Opns Prod Mngt 22: 445–461.
Beliën J and Demeulemeester E (2007). Building cyclic master surgery schedules with leveled resulting bed occupancy. Eur J Opl Res 176: 1185–1204.
Beliën J, Demeulemeester E and Cardoen B (2006). Visualizing the demand for various resources as a function of the master surgery schedule: A case study. J Med Syst 30: 343–350.
Beliën J, Demeulemeester E and Cardoen B (2009). A decision support system for cyclic master surgery scheduling with multiple objectives. J Sched 12: 147–161.
Blake JT and Carter MW (1997). Surgical process scheduling: A structured review. J Soc Health Syst 5 (3): 17–30.
Blake JT and Donald J (2002). Mount Sinai Hospital uses integer programming to allocate operating room time. Interfaces 32 (2): 63–73.
Cardoen B, Demeulemeester E and Beliën J (2010). Operating room planning and scheduling: A literature review. Eur J Opl Res 201: 921–932.
Griffiths JD, Price-Lloyd N, Smithies M and Williams JE (2005). Modelling the requirement for supplementary nurses in an intensive care unit. J Opl Res Soc 56: 126–133.
Harris RA (1986). Hospital bed requirements planning. Eur J Opl Res 25: 121–126.
Litvak E and Long MC (2000). Cost and quality under managed care: Irreconcilable differences. Am J Manag C 6: 305–312.
McManus ML, Long MC, Cooper A, Mandell J, Pagano DMBM and Litvak E (2003). Variability in surgical caseload and access to intensive care services. Anesthesiology 98: 1491–1496.
Santibáñez P, Begen M and Atkins D (2007). Surgical block scheduling in a system of hospitals: An application to resource and wait list management in a British Columbia health authority. Health Care Mngt Sci 10: 269–282.
Van Houdenhoven M, van Oostrum JM, Hans EW, Gerhard W and Kazemier G (2007). Improving operating room efficiency by applying bin-packing and portfolio techniques to surgical case scheduling. Anesth Analg 105: 707–714.
Van Houdenhoven M, van Oostrum JM, Wullink G, Hans E, Hurink JL, Bakker J and Kazemier G (2008). Fewer intensive care unit refusals and a higher capacity utilization by using a cyclic surgical case schedule. J Crit Care 23: 222–226.
Van Oostrum JM, van Houdenhoven M, Hurink JL, Wullink EWHG and Kazemier G (2008). A master surgical scheduling approach for cyclic scheduling in operating room departments. OR Spectrum 30: 355–374.
Van Oostrum JM, Bredenhoff E and Hans EW (2010). Suitability and managerial implications of a master surgical scheduling approach. Ann Opns Res 178: 91–104.
Vanberkel PT and Blake JT (2007). A comprehensive simulation for wait time reduction and capacity planning applied in general surgery. Health Care Mngt Sci 10: 373–385.
Vanberkel PT, Boucherie RJ, Hans EW and Hurink J (2010). A survey of health care models that encompass multiple departments. Int J Health Mngt Inform 1: 37–69.
Wachtel RE and Dexter F (2008). Tactical increases in operating room block time for capacity planning should not be based on utilization. Anesth Analg 106: 215–226.
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Vanberkel, P., Boucherie, R., Hans, E. et al. An exact approach for relating recovering surgical patient workload to the master surgical schedule. J Oper Res Soc 62, 1851–1860 (2011). https://doi.org/10.1057/jors.2010.141
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DOI: https://doi.org/10.1057/jors.2010.141