Abstract:
This CE presentation will delve into the critical role of data collection and analysis in enhancing healthcare simulation programs. The presentation highlights various clinical simulation metrics that can be captured, and as well discusses methods for utilizing these metrics to refine healthcare simulation scenarios and improve educational outcomes, as well as asking for additional resources. Additionally, the presenter will explore different techniques for data capture, including automated software tools, observer reports, and direct feedback mechanisms, ensuring a comprehensive approach to data-driven improvements in healthcare simulation
Learning Objectives:
- Gain insights into the various reasons why data collection is crucial in healthcare simulations, including its role in resource allocation and capacity planning.
- Identify and comprehend the key metrics that can be captured during medical simulations, such as performance rates, error identification, and process efficiencies.
- Learn how to use simulated program data to manage resources effectively, including planning for equipment and personnel needs based on data insights.