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Distributed Simulation as a modelling tool for the development of a simulation-based training programme for

Tanika Kelay1, Kah Leong Chan1, Emmanuel Ako2

  • 11Imperial Centre for Engagement and Simulation Science, Imperial College London, 3rd Flr Chelsea and Westminster Hospital (Academic Surgery), 369 Fulham Road, London, SW10 9NH UK.

Advances in Simulation (London, England)
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Summary

Distributed Simulation enables portable, high-fidelity immersive training for cardiovascular specialities. Iterative user feedback and collaborative design improved simulation realism and training relevance, leading to successful implementation.

Keywords:
Collaborative designDistributed SimulationEvaluationImmersive simulationImplementationMixed-methodsTraining

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Area of Science:

  • Medical Simulation
  • Cardiovascular Training
  • Distributed Simulation Technology

Background:

  • Developing effective training programs for cardiovascular specialities requires high-fidelity simulation.
  • Accessible, portable, and self-contained simulated environments are crucial for complex training frameworks.

Purpose of the Study:

  • To present an evidence base for utilizing distributed simulation in developing a cardiovascular training program.
  • To model, develop, and test a complex training framework and assessment methodology using immersive simulation.

Main Methods:

  • A four-phase development approach was used, including conceptualization, facility design, clinician testing with mixed-methods evaluation, and iterative refinement.
  • Mixed-methods evaluation involved quantitative surveys for realism and educational relevance, and qualitative interviews for detailed feedback.
  • Longitudinal quantitative evaluations were conducted throughout development and implementation stages with increasing numbers of clinicians.

Main Results:

  • Initial mean evaluation scores for realism and relevance were low but increased incrementally through iterative refinements based on user feedback.
  • Qualitative feedback augmented quantitative findings, guiding design changes and leading to higher evaluation scores.
  • The collaborative design process, incorporating user feedback, was key to improving the simulation framework.

Conclusions:

  • Distributed Simulation, collaborative design, and consistent evaluation enable fully immersive cardiovascular training.
  • This approach has the potential for broader implementation in medical education and training.