An exact approach for relating recovering surgical patient workload to the master surgical schedule

P.T. Vanberkel, Richardus J. Boucherie, Elias W. Hans, Johann L. Hurink, Wineke A.M. van Lent, W.A.M. van Lent, Wim H. van Harten, Willem H. van Harten

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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 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.
Original languageEnglish
Place of PublicationEnschede
PublisherStochastic Operations Research (SOR)
Number of pages15
ISBN (Print)ISSN 1874-4850
Publication statusPublished - Nov 2009

Publication series

NameInternal Report (Memorandum)
PublisherUniversity of Twente, Department of Applied Mathematics
No.1908
ISSN (Print)1874-4850

Keywords

  • Surgical Scheduling
  • Ward occupancy
  • Queueing
  • Hospitals
  • METIS-266680
  • Probability

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  • Cite this

    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).