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Navigating complexity: a conceptual framework for simulation interventions.

Anders L Schram1, Tine Brink Henriksen2, Helle Terkildsen Maindal3

  • 1Department of Clinical Medicine, MidtSim, Aarhus University, Hedeager 5, Aarhus, 8200, Denmark. anders.schram@rm.dk.

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Summary
This summary is machine-generated.

Simulation-based training must embrace healthcare complexity. This framework integrates Complex Adaptive Systems and Resilient Healthcare principles to enhance adaptability and system-wide resilience for improved healthcare outcomes.

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Area of Science:

  • Healthcare Systems Science
  • Complexity Science
  • Resilience Engineering

Background:

  • Healthcare systems are complex, dynamic, and interdependent, requiring simulation interventions to reflect this reality.
  • Complex Adaptive Systems (CAS) and Resilient Healthcare (RH) offer frameworks to understand and enhance healthcare system adaptability and functionality.
  • Integrating CAS and RH principles into simulation design improves intervention success and fosters system-wide resilience.

Purpose of the Study:

  • To propose a conceptual framework for simulation practitioners to design and deliver interventions that embrace healthcare complexity.
  • To integrate principles from Complex Adaptive Systems and Resilient Healthcare into simulation-based interventions.
  • To foster a complexity-aware mindset within healthcare professionals and organizations.

Main Methods:

  • A three-component conceptual framework: problem identification, simulation design, and evaluation strategies.
  • Application of the framework across organizational levels (institutional, departmental, individual).
  • Integration of CAS and RH principles to guide simulation design and evaluation.

Main Results:

  • Simulation interventions, when designed with a complexity-aware approach, can effectively address healthcare challenges at multiple levels.
  • The proposed framework enables healthcare professionals and organizations to better anticipate, respond to, and recover from system challenges.
  • Vignettes illustrate the practical application and benefits of the framework in diverse healthcare settings.

Conclusions:

  • Simulation interventions strengthen healthcare systems by promoting organizational learning and embedding complexity and resilience principles.
  • Reimagining simulation as complex, multi-level interventions, rather than isolated events, is crucial for real-world impact.
  • A systems-based approach aligns simulation practice with real-world conditions, fostering adaptive and resilient healthcare delivery.