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Updated: Aug 28, 2025
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The Immersive Cleveland Clinic Virtual Reality Shopping Platform for the Assessment of Instrumental Activities of Daily Living
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Sequential Behavioral Analysis: A Novel Approach to Help Understand Clinical Decision-Making Patterns in Extended
Lauryn R Rochlen1, Elizabeth M Putnam, Alan R Tait
1From the Department of Anesthesiology (L.R.R., E.M.P.), Department of Learning Health Sciences (L.R.R., V.P.), University of Michigan, Ann Arbor, MI; and School of Teaching and Learning (H.D.), College of Education, University of Florida, Gainesville, FL.
Summary
Extended reality (XR) simulation training captures dynamic behaviors for healthcare professionals. Sequential analysis reveals learning patterns in critical event decision-making, offering new training insights.
Area of Science:
- Medical Simulation
- Health Professions Education
- Behavioral Data Analysis
Background:
- Extended reality (XR) offers immersive training environments.
- Critical events in healthcare are challenging to simulate realistically.
- Dynamic behavioral data collection is crucial for performance assessment.
Purpose of the Study:
- To explore the utility of XR simulation for training healthcare professionals on critical events.
- To apply sequential analysis to understand clinical decision-making patterns within XR scenarios.
- To identify novel insights into learning behaviors during high-stakes event training.
Main Methods:
- Utilizing extended reality (XR) for simulation-based training.
- Employing sequential analysis to identify patterns in decision-making sequences.
- Observing and analyzing behavioral data within XR training environments.
Main Results:
- XR simulation facilitates the collection of dynamic behavioral data.
- Increased immersion and realism enhance the training experience.
- Sequential analysis successfully identified distinct clinical decision-making patterns.
Conclusions:
- XR-based simulation is effective for training critical event management in healthcare.
- Sequential analysis provides valuable insights into learning and decision-making processes in XR.
- This approach enhances the training of healthcare professionals for complex scenarios.
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