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Obstetric operating room staffing and operating efficiency using queueing theory.

Grace Lim1,2, Annamarie J Lim3, Beth Quinn4

  • 1Department of Anesthesiology & Perioperative Medicine, University of Pittsburgh, 300 Halket Street #3510, Pittsburgh, PA, 15215, USA. Limkg2@upmc.edu.

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Summary
This summary is machine-generated.

Queuing Theory Analysis (QTA) optimizes birth center operating room (OR) staffing and resources. This method ensures efficient perioperative care by analyzing patient flow and resource allocation, enhancing safety and operational benchmarks.

Keywords:
AnesthesiaEfficiencyObstetricOperating roomQueueingStaffing

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Area of Science:

  • Healthcare Operations Research
  • Maternal Health Services
  • Biostatistics

Background:

  • Optimizing operating room (OR) efficiency in birth centers presents challenges due to emergencies and competing priorities.
  • This study applied Queuing Theory Analysis (QTA) to address these challenges by identifying optimal OR and staffing resources.
  • Real-world data from a Level 4 Maternity Center was utilized to inform the analysis.

Purpose of the Study:

  • To determine optimal operating room (OR) and staffing allocations for birth centers using Queuing Theory Analysis (QTA).
  • To identify benchmarks for efficient and safe perioperative care in maternity settings.
  • To assess the feasibility of QTA in guiding resource management for varying maternity center volumes.

Main Methods:

  • Queuing Theory Analysis (QTA) was employed, utilizing Mean Arrival Rate (λ) and Mean Service Rate (µ) variables.
  • Multiphase multichannel analysis was performed on data from a Level 4 Maternity Center (July 2019-June 2020).
  • Safety parameters, including decision-to-incision times and nil per os duration, were incorporated to ensure patient safety.

Main Results:

  • Analysis revealed peak hour arrival rates (λ) of 0.45 patients/hour and a service rate (µ) of 0.87 patients/hour per OR team.
  • With 3 OR teams during peak hours, the probability of 2 or more patients in the system (P≥2) was 0.07.
  • The probability of no patients in the system (P0) was 0.61 over 24 hours and 0.48 during peak hours.

Conclusions:

  • Queuing Theory Analysis (QTA) is an effective tool for enhancing birth center OR efficiency while maintaining safety standards.
  • QTA provides a feasible framework for guiding staffing and space requirements in maternity centers of all sizes.
  • The findings support the use of QTA for informed, hospital-level decision-making to achieve safe and efficient maternity perioperative care.