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Simulation modeling: a powerful tool for process improvement

S B Boxerman1

  • 1Health Administration Program, Washington University School of Medicine, St. Louis, MO 63110, USA. stuart@wubios.wustl.edu

Best Practices and Benchmarking in Healthcare : a Practical Journal for Clinical and Management Application
|May 1, 1996
PubMed
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Simulation modeling efficiently evaluates system operations and potential modifications. This approach enhances benchmarking projects by assessing proposed changes to systems or processes.

Area of Science:

  • Systems engineering
  • Operations research
  • Industrial engineering

Background:

  • Simulation modeling is a powerful tool for analyzing complex systems.
  • Benchmarking projects aim to improve system performance through comparison and evaluation.
  • Evaluating proposed modifications is crucial for effective system enhancement.

Purpose of the Study:

  • To demonstrate the utility of simulation modeling in enhancing benchmarking projects.
  • To explore how simulation can assess system modifications under various conditions.
  • To provide a framework for data-driven decision-making in system improvement.

Main Methods:

  • Developing simulation models to represent the system under study.
  • Defining alternative conditions and proposed modifications for evaluation.

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  • Analyzing simulation outputs to assess the impact of changes.

    • Main Results:

    • Simulation modeling offers an efficient method for examining system behavior under diverse scenarios.
    • The approach facilitates the evaluation of proposed modifications before implementation.
    • Results indicate enhanced decision-making capabilities for benchmarking projects.

    Conclusions:

    • Simulation modeling is a valuable tool for optimizing system performance.
    • It provides a robust method for evaluating proposed changes within benchmarking initiatives.
    • This technique supports informed strategic planning for system and process improvements.