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Combining Systems Thinking and Emotional Intelligence to Navigate Complexity in Simulation Debriefing.

Heather Epp, Bobbie Ann Adair White, Suzan Kardong-Edgren

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    Summary
    This summary is machine-generated.

    Simulation debriefing is a complex adaptive system. Facilitators can use emotional intelligence to navigate challenges and enhance adaptive learning in simulation-based education.

    Keywords:
    complex adaptive systemdebriefingemotional intelligencesimulation facilitationsimulation-based educationsystems thinking

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    Area of Science:

    • Healthcare simulation
    • Medical education
    • Systems thinking

    Background:

    • Simulation debriefing involves complex interpersonal dynamics and emotional learning environments.
    • Existing debriefing models may not fully address facilitator adaptability to emergent challenges.
    • Facilitator responsiveness is crucial for effective simulation-based education.

    Purpose of the Study:

    • To frame simulation debriefing as a complex adaptive system.
    • To explore the application of emotional intelligence competencies for facilitators.
    • To provide strategies for enhancing facilitator adaptability and relational sensitivity during debriefing.

    Main Methods:

    • Conceptual framework integrating systems thinking with emotional intelligence domains.
    • Analysis of facilitator roles in navigating uncertainty and competing agendas.
    • Development of applied strategies for real-time decision-making in debriefing.

    Main Results:

    • Simulation debriefing can be understood as a complex adaptive system.
    • Emotional intelligence competencies enable facilitators to respond adaptively to dynamic situations.
    • Integration of systems thinking and emotional intelligence enhances facilitator responsiveness and relational sensitivity.

    Conclusions:

    • Applying emotional intelligence to simulation debriefing fosters adaptive learning.
    • Facilitator emotional intelligence is key to managing complex interactions and emergent challenges.
    • This approach advances simulation-based education by prioritizing real-time, emotionally intelligent decision-making.