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Hybrid-virtual simulations for Canadian medical students during the COVID-19 pandemic

Authors

DOI:

https://doi.org/10.36834/cmej.71744

Abstract

Implication Statement:

Given the efficacy of simulations as a medical education tool, the inability to provide them during the COVID-19 pandemic may be detrimental to pre-clinical medical student learning. We developed hybrid simulations, where remote learner participants could direct an in-person assistant. This offered a learning opportunity that was more realistic than fully virtual simulations and abided by public health guidelines. Hybrid simulations provided an opportunity for medical students to practice real-time clinical decision making in a remote, high-fidelity, simulated environment. This approach could be adapted for rural healthcare students and professionals to participate in simulations without a local simulation centre.

Author Biographies

  • Riley M Reel, University of British Columbia

    Riley M. Reel is a second-year medical student at the University of British Columbia.

  • Kevin I Gunther, University of British Columbia

    Kevin I. Gunther is a second-year medical student at the University of British Columbia.

  • Samuel R Kirk, University of British Columbia

    Samuel R. Kirk is a second-year medical student at the University of British Columbia.

  • D Graham Oliver Landells, University of British Columbia

    D. Graham Oliver Landells is a second-year medical student at the University of British Columbia.

  • Anne L Theilmann, University of British Columbia

    Anne Theilmann is a second-year medical student at the University of British Columbia.

  • Morgan J Haines, University of British Columbia

    Morgan J. Haines is a fourth-year medical student at the University of British Columbia.

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Published

2021-04-20

Versions

Issue

Vol. 12 No. 4 (2021)

Section

You Should Try This

License

Copyright (c) 2021 Riley Reel, Kevin Gunther, Samuel Kirk, David Landells, Anne Theilmann, Morgan Haines

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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