PEARLS for Systems Integration: A Modified PEARLS Framework for Debriefing Systems-Focused Simulations

Modern healthcare organizations strive for continuous improvement in systems and processes to ensure safe, effective, and cost-conscious patient care. However, systems failures and inefficiencies lurk in every organization, often emerging only after patients have experienced harm or delays. Simulati...

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Veröffentlicht in:Simulation in healthcare : journal of the Society for Medical Simulation Jg. 14; H. 5; S. 333
Hauptverfasser: Dubé, Mirette M, Reid, Jennifer, Kaba, Alyshah, Cheng, Adam, Eppich, Walter, Grant, Vincent, Stone, Kimberly
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States 01.10.2019
Schlagworte:
Clinical Competence
Educational Measurement
Formative Feedback
Humans
Patient Safety
Quality Improvement - organization & administration
Simulation Training - organization & administration
Systems Integration
ISSN:1559-713X, 1559-713X
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Zusammenfassung:Modern healthcare organizations strive for continuous improvement in systems and processes to ensure safe, effective, and cost-conscious patient care. However, systems failures and inefficiencies lurk in every organization, often emerging only after patients have experienced harm or delays. Simulation and debriefing, focused on identifying systems gaps, can proactively lead to improvements in safety and quality. Systems-focused debriefing requires a different approach than traditional, learner-focused debriefing. We describe PEARLS for Systems Integration, a conceptual framework, debriefing structure and script that facilitators can use for systems-focused debriefing. The framework builds on Promoting Excellence And Reflective Learning in Simulation, using common debriefing strategies (plus/delta, focused facilitation, and directive feedback) in a modified format, with new debriefing scripts. Promoting Excellence And Reflective Learning in Simulation for System Integration offers a structured framework, adaptable for debriefing systems-focused simulations, to identify systems issues and maximize improvements in patient safety and quality.
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ISSN:1559-713X
1559-713X
DOI:10.1097/SIH.0000000000000381