Solving the global medical education need: Accelerated digital health learning on mechanical
ventilation for SARS-Cov-2
ventilation for SARS-Cov-2
File(s)
Published version
Author(s)
Type
Chapter
Abstract
The 2019 Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) pandemic continues to significantly disrupt services with consequent morbidity and mortality from both cardio-respiratory and multi-systemic complications.
Clinical care delivery of the disease was severely affected in the early stages by the lack of tools to support borderless knowledge delivery and the global education of clinicians not familiar with invasive mechanical ventilation.
In collaboration with industry, newer approaches using digital learning platforms enabled effective training delivery for clinicians. We present such a platform designed to facilitate enhanced digital learning at the beginning of the pandemic, which continues to support non-expert clinician and surgeon training providing them with exposure to mechanical ventilation training.
Clinical care delivery of the disease was severely affected in the early stages by the lack of tools to support borderless knowledge delivery and the global education of clinicians not familiar with invasive mechanical ventilation.
In collaboration with industry, newer approaches using digital learning platforms enabled effective training delivery for clinicians. We present such a platform designed to facilitate enhanced digital learning at the beginning of the pandemic, which continues to support non-expert clinician and surgeon training providing them with exposure to mechanical ventilation training.
Editor(s)
Azzopardi Muscat, Natasha
Date Issued
2021-12-02
Citation
1st Meeting of the Minds: vol. 1, 2021, pp.57-64
ISBN
978-2-8325-1218-0
Publisher
Frontiers Media S.A.
Start Page
57
End Page
64
Journal / Book Title
1st Meeting of the Minds: vol. 1
Copyright Statement
© 2021 The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed.
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