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Emergency Undocking in Robotic Surgery: A Simulation Curriculum
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Levelling bed occupancy: reconfiguring surgery schedules via simulation.

Kenneth Yip1, Louisa Leung1, Deacons Yeung1

  • 1Hospital Authority, Hong Kong, Hong Kong.

International Journal of Health Care Quality Assurance
|October 26, 2018
PubMed
Summary

Simulation modelling of a hospital's master surgery schedule (MSS) can level bed occupancy. This data-driven approach offers practical insights for enhancing hospital efficiency and patient flow.

Keywords:
Healthcare service planningOperating theatreSimulationSurgical scheduling

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Area of Science:

  • Operations Research
  • Healthcare Management
  • Simulation Modelling

Background:

  • Effective hospital operational planning requires optimizing patient flow and resource allocation.
  • Master surgery schedules (MSS) significantly impact hospital bed occupancy and overall efficiency.
  • Hong Kong hospitals face challenges in managing capacity and ensuring smooth patient journeys.

Purpose of the Study:

  • To apply simulation modelling to reconfigure a 700-bed Hong Kong hospital's master surgery schedule (MSS).
  • To improve patient flow, capacity management, and resource allocation by levelling bed occupancy.
  • To provide actionable business intelligence for short- and long-term hospital planning.

Main Methods:

  • Development of a discrete-event simulation model to analyze MSS changes and their effect on bed occupancy.
  • Creation of a decision tool for hospital managers to test various scheduling scenarios.
  • Utilisation of optimisation routines within the simulation model for long-term schedule improvements.

Main Results:

  • Simulation demonstrated that minor, practical adjustments to the MSS can achieve significant bed occupancy levelling.
  • Optimisation routines provided further insights for long-term master surgery schedule revamp.
  • The model successfully evaluated the relationship between the MSS and bed occupancy.

Conclusions:

  • Operations research methods provide a robust framework for guiding hospital operational planning.
  • A data-driven, evidence-based simulation model empowers managers to explore scheduling changes effectively.
  • This advanced analytics approach facilitates informed decision-making and enhances efficiency and service quality in Hong Kong hospitals.