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Related Experiment Video

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Emergency Undocking in Robotic Surgery: A Simulation Curriculum
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Due time driven surgery scheduling.

Michael Samudra1, Erik Demeulemeester2, Brecht Cardoen3

  • 1Faculty of Economics and Business, KU Leuven, Leuven, Belgium. samudra@kuleuven.be.

Health Care Management Science
|February 11, 2016
PubMed
Summary

Delays in surgery scheduling impact patient health. Optimizing operating room (OR) capacity through better scheduling and replanning, including non-elective arrivals and same-day rescheduling, minimizes these delays.

Keywords:
Due timeDynamic surgery schedulingHospitalOperating room planning

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Area of Science:

  • Healthcare Operations Research
  • Medical Informatics
  • Hospital Management

Background:

  • A significant number of patients experience surgical delays beyond medically indicated times.
  • These delays increase patient health risks and strain hospital resources.
  • Understanding and improving the patient scheduling process is crucial for timely surgical care.

Purpose of the Study:

  • To quantify delays in patient scheduling for surgery.
  • To understand the mechanisms of the patient scheduling process.
  • To implement and test realistic patient scheduling methods to reduce delays.

Main Methods:

  • Development of a discrete event simulation model.
  • Inclusion of non-elective patient arrivals.
  • Modeling of elective rescheduling decisions on surgery day.
  • Analysis of scheduling strategies focusing on operating room (OR) capacity utilization.

Main Results:

  • Accurate modeling requires accounting for non-elective arrivals and same-day rescheduling.
  • OR performance measures like overtime are less dependent on scheduling methods when rescheduling is included.
  • Capacity considerations are vital for pre-surgery actions like scheduling and replanning.
  • Efficient OR capacity use, e.g., via first-come, first-served, correlates with meeting medically indicated times.

Conclusions:

  • Effective patient scheduling strategies must prioritize efficient operating room (OR) capacity utilization.
  • Allowing for patient replanning is essential, especially when strict scheduling orders cannot be maintained.
  • Simulation modeling provides valuable insights for optimizing surgical patient flow and minimizing delays.