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