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Emergency Undocking in Robotic Surgery: A Simulation Curriculum
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A comprehensive simulation for wait time reduction and capacity planning applied in general surgery.

Peter T VanBerkel1, John T Blake

  • 1Department of Industrial Engineering, Dalhousie University, P.O. Box #1000, Halifax, Nova Scotia B3J 1W2, Canada.

Health Care Management Science
|December 14, 2007
PubMed
Summary

Operational research and discrete event simulation were used to analyze surgical wait lists. Strategies for redistributing beds and standardizing patient stays can reduce wait times for elective procedures.

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Area of Science:

  • Healthcare Operations Research
  • Health Systems Engineering
  • Surgical Wait List Analysis

Background:

  • Long wait times for elective surgical procedures present a significant challenge in healthcare systems.
  • Effective capacity planning and resource allocation are crucial for managing surgical wait lists efficiently.

Purpose of the Study:

  • To analyze the surgical wait list at the Division of General Surgery, Capital District Health Authority.
  • To develop and utilize a discrete event simulation model for capacity planning and performance analysis.
  • To identify strategies for stabilizing and decreasing wait times for elective procedures.

Main Methods:

  • Application of operational research techniques.
  • Development of a discrete event simulation model.

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  • Analysis of bed redistribution, standard patient lengths of stay, and resource options.

    • Main Results:

    • The study identified consequences of redistributing beds and achieving standard patient lengths of stay.
    • Contrasted current resource options with potential additional resources.
    • Evaluated multiple independent and combined strategies for wait list management.

    Conclusions:

    • Proposed multiple options for stabilizing and decreasing wait times for elective surgeries.
    • Highlighted the utility of discrete event simulation in healthcare capacity planning.
    • Provided data-driven recommendations for improving surgical wait list performance.