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The value proposition of simulation-based education.

David A Cook1, Dana K Andersen2, John R Combes3

  • 1Mayo Clinic Multidisciplinary Simulation Center, Mayo Clinic College of Medicine and Science, Rochester, MN, USA; Office of Applied Scholarship and Education Science, Mayo Clinic College of Medicine and Science, Rochester, MN, USA; Division of General Internal Medicine, Mayo Clinic, Rochester, MN, USA.

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Summary
This summary is machine-generated.

Simulation-based education enhances physician skills and patient outcomes. Further research must quantify costs and benefits to clarify its value proposition for healthcare.

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Area of Science:

  • Medical Education
  • Healthcare Simulation
  • Health Services Research

Background:

  • Simulation-based education is proven to improve physician skills and patient outcomes.
  • High resource requirements for simulation raise questions about its overall value.
  • Existing evidence necessitates a clearer understanding of simulation's return on investment.

Purpose of the Study:

  • To summarize findings from a panel on simulation-based education's value proposition.
  • To define research priorities for evaluating simulation in medical training.
  • To guide future research on the costs and outcomes of simulation.

Main Methods:

  • Panel discussion summarizing current knowledge on simulation-based education.
  • Identification of key areas for future research and evaluation.
  • Focus on outcomes measurement, cost analysis, and stakeholder engagement.

Main Results:

  • Simulation-based education offers significant benefits but requires substantial resources.
  • Research should rigorously measure resource investments, provider performance, patient outcomes, and organizational impact.
  • Training practicing clinicians and healthcare teams is a critical area for future focus.

Conclusions:

  • Clarifying the value proposition of simulation-based education is crucial for its continued adoption.
  • A coordinated national effort with diverse stakeholder engagement and funding is needed.
  • Future research must provide robust data on both the costs and benefits of simulation.