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Simulation-based summative assessment in healthcare: an overview of key principles for practice.

Clément BuléonLaurent MattatiaRebecca D MinehartJenny W RudolphFernande J LoisErwan GuillouetAnne-Laure PhilipponOlivier BrissaudAntoine Lefevre-ScellesDan BenhamouFrançois LecomteThe SoFraSimS Assessment With Simulation GroupAnne BellotIsabelle CrubléGuillaume PhilippotThierry VanderlindenSébastien BatrancourtClaire Boithias-GuerotJean BréaudPhiline de VriesLouis SibertThierry SécheresseVirginie BoulantLouis DelamarreLaurent GrilletMarianne JundChristophe MathurinJacques BerthodBlaise DebienOlivier GaciaGuillaume Der SahakianSylvain BoetDenis OriotJean-Michel Chabot
Published in: Advances in simulation (London, England) (2022)
Our results identified among the seven topics one area with robust evidence in the literature ("What can be assessed in simulation?"), three areas with evidence that require guidance by expert opinion ("Assessment tools for SBSA", "Scenarios for SBSA", "Implementation of SBSA in healthcare"), and three areas with weak or emerging evidence ("Consequences of undergoing the SBSA process", "Debriefing for SBSA", "Trainers for SBSA"). Using SBSA holds much promise, with increasing demand for this application. Due to the important stakes involved, it must be rigorously conducted and supervised. Guidelines for good practice should be formalized to help with conduct and implementation. We believe this baseline can direct future investigation and the development of guidelines.
Keyphrases
  • healthcare
  • primary care
  • clinical practice
  • quality improvement
  • systematic review
  • machine learning
  • climate change
  • big data
  • deep learning
  • clinical evaluation