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The 2019 WACEM Expert Document on Hybrid Simulation for Transforming Health-care Simulation Through “Mixing and Matching”

With the multitude of options available under the umbrella of “simulation” today, we have a larger repertoire of choices in our educational journey and outreach. These provide a platform for us to really transform health-care simulation from the traditional, unimodality simulation, to more complex,...

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Detalles Bibliográficos
Autores principales: Lateef, Fatimah, Too, Xin Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6883504/
https://www.ncbi.nlm.nih.gov/pubmed/31798236
http://dx.doi.org/10.4103/JETS.JETS_112_19
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author Lateef, Fatimah
Too, Xin Yi
author_facet Lateef, Fatimah
Too, Xin Yi
author_sort Lateef, Fatimah
collection PubMed
description With the multitude of options available under the umbrella of “simulation” today, we have a larger repertoire of choices in our educational journey and outreach. These provide a platform for us to really transform health-care simulation from the traditional, unimodality simulation, to more complex, high fidelity, integrated, and engaging multimodality techniques. The main thrust must be to enhance clinical decision-making in patient care, to solve real-world clinical problems. Hybrid simulation (HS) utilizes at least two different simulation modalities, whereby combining them will enable one type of simulation modality to enhance the other, with the proper alignment, coordination, and interfacing between the modalities. Although the term is often used interchangeably, HS is slightly different from multimodality simulation. The latter refers to the use of multiple types of simulation in the same scenario or place. The main objectives for using HS have to be as follows: (1) for the acquisition of knowledge and skills by the best combination of methodologies, (2) for clinical performance improvement at all levels of care through the creation of as close as possible to real-world situation and problems, (3) to be able to sustain motivation and passion of our spectrum learners in their educational continuum, and (4) to provide a rich, exciting, and stimulating learning platform and environment, which can trigger deep learning and understanding. This article will also share some examples and cases utilizing HS in transforming health-care simulation.
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spelling pubmed-68835042019-12-03 The 2019 WACEM Expert Document on Hybrid Simulation for Transforming Health-care Simulation Through “Mixing and Matching” Lateef, Fatimah Too, Xin Yi J Emerg Trauma Shock Position Paper With the multitude of options available under the umbrella of “simulation” today, we have a larger repertoire of choices in our educational journey and outreach. These provide a platform for us to really transform health-care simulation from the traditional, unimodality simulation, to more complex, high fidelity, integrated, and engaging multimodality techniques. The main thrust must be to enhance clinical decision-making in patient care, to solve real-world clinical problems. Hybrid simulation (HS) utilizes at least two different simulation modalities, whereby combining them will enable one type of simulation modality to enhance the other, with the proper alignment, coordination, and interfacing between the modalities. Although the term is often used interchangeably, HS is slightly different from multimodality simulation. The latter refers to the use of multiple types of simulation in the same scenario or place. The main objectives for using HS have to be as follows: (1) for the acquisition of knowledge and skills by the best combination of methodologies, (2) for clinical performance improvement at all levels of care through the creation of as close as possible to real-world situation and problems, (3) to be able to sustain motivation and passion of our spectrum learners in their educational continuum, and (4) to provide a rich, exciting, and stimulating learning platform and environment, which can trigger deep learning and understanding. This article will also share some examples and cases utilizing HS in transforming health-care simulation. Wolters Kluwer - Medknow 2019 2019-11-18 /pmc/articles/PMC6883504/ /pubmed/31798236 http://dx.doi.org/10.4103/JETS.JETS_112_19 Text en Copyright: © 2019 Journal of Emergencies, Trauma, and Shock http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Position Paper
Lateef, Fatimah
Too, Xin Yi
The 2019 WACEM Expert Document on Hybrid Simulation for Transforming Health-care Simulation Through “Mixing and Matching”
title The 2019 WACEM Expert Document on Hybrid Simulation for Transforming Health-care Simulation Through “Mixing and Matching”
title_full The 2019 WACEM Expert Document on Hybrid Simulation for Transforming Health-care Simulation Through “Mixing and Matching”
title_fullStr The 2019 WACEM Expert Document on Hybrid Simulation for Transforming Health-care Simulation Through “Mixing and Matching”
title_full_unstemmed The 2019 WACEM Expert Document on Hybrid Simulation for Transforming Health-care Simulation Through “Mixing and Matching”
title_short The 2019 WACEM Expert Document on Hybrid Simulation for Transforming Health-care Simulation Through “Mixing and Matching”
title_sort 2019 wacem expert document on hybrid simulation for transforming health-care simulation through “mixing and matching”
topic Position Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6883504/
https://www.ncbi.nlm.nih.gov/pubmed/31798236
http://dx.doi.org/10.4103/JETS.JETS_112_19
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