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Simulation as decision tool for capacity planning.

S Groothuis1, G G van Merode, A Hasman

  • 1Department of Medical Informatics, Maastricht University, PO Box 616, 6200 MD Maastricht, The Netherlands. siebren.groothuis@mi.unimaas.nl

Computer Methods and Programs in Biomedicine
|September 12, 2001
PubMed
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Discrete event simulation optimizes catheterization capacity by modeling patient flow. This simulation helps management improve efficiency and patient throughput in catheterization rooms.

Area of Science:

  • Healthcare Operations Research
  • Medical Simulation

Background:

  • Catheterization rooms face challenges in optimizing patient flow and capacity utilization.
  • Efficient resource management is crucial for timely patient care and operational efficiency.

Purpose of the Study:

  • To demonstrate the application of discrete event simulation for optimizing catheterization capacity.
  • To evaluate the impact of different scheduling strategies on patient throughput and working day duration.

Main Methods:

  • Development and validation of a discrete event simulation model using MedModel software.
  • Formulation and simulation of three experimental scenarios to test optimization strategies.
  • Application of two distinct scheduling strategies to current and experimental situations.

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Main Results:

  • Simulation experiments identified key performance indicators, including patient treatment numbers and working day length.
  • The study quantified the potential improvements in catheterization room efficiency under different operational strategies.
  • Results provide data-driven insights for management decision-making.

Conclusions:

  • Discrete event simulation is a valuable tool for optimizing catheterization room operations.
  • Implementing optimized scheduling strategies can significantly enhance patient throughput and resource utilization.
  • The findings offer actionable recommendations for improving catheterization capacity management.