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Augmented reality in medical education: a systematic review

INTRODUCTION: The field of augmented reality (AR) is rapidly growing with many new potential applications in medical education. This systematic review investigated the current state of augmented reality applications (ARAs) and developed an analytical model to guide future research in assessing ARAs...

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Autores principales: Tang, Kevin S., Cheng, Derrick L., Mi, Eric, Greenberg, Paul B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Canadian Medical Education Journal 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7082471/
https://www.ncbi.nlm.nih.gov/pubmed/32215146
http://dx.doi.org/10.36834/cmej.61705
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author Tang, Kevin S.
Cheng, Derrick L.
Mi, Eric
Greenberg, Paul B.
author_facet Tang, Kevin S.
Cheng, Derrick L.
Mi, Eric
Greenberg, Paul B.
author_sort Tang, Kevin S.
collection PubMed
description INTRODUCTION: The field of augmented reality (AR) is rapidly growing with many new potential applications in medical education. This systematic review investigated the current state of augmented reality applications (ARAs) and developed an analytical model to guide future research in assessing ARAs as teaching tools in medical education. METHODS: A literature search was conducted using PubMed, Embase, Web of Science, Cochrane Library, and Google Scholar. This review followed PRISMA guidelines and included publications from January 1, 2000 to June 18, 2018. Inclusion criteria were experimental studies evaluating ARAs implemented in healthcare education published in English. Our review evaluated study quality and determined whether studies assessed ARA validity using criteria established by the GRADE Working Group and Gallagher et al., respectively. These findings were used to formulate an analytical model to assess the readiness of ARAs for implementation in medical education. RESULTS: We identified 100,807 articles in the initial literature search; 36 met inclusion criteria for final review and were categorized into three categories: Surgery (23), Anatomy (9), and Other (4). The overall quality of the studies was poor and no ARA was tested for all five stages of validity. Our analytical model evaluates the importance of research quality, application content, outcomes, and feasibility of an ARA to gauge its readiness for implementation. CONCLUSION: While AR technology is growing at a rapid rate, the current quality and breadth of AR research in medical training is insufficient to recommend the adoption into educational curricula. We hope our analytical model will help standardize AR assessment methods and define the role of AR technology in medical education.
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spelling pubmed-70824712020-03-25 Augmented reality in medical education: a systematic review Tang, Kevin S. Cheng, Derrick L. Mi, Eric Greenberg, Paul B. Can Med Educ J Review Papers and Meta-Analyses INTRODUCTION: The field of augmented reality (AR) is rapidly growing with many new potential applications in medical education. This systematic review investigated the current state of augmented reality applications (ARAs) and developed an analytical model to guide future research in assessing ARAs as teaching tools in medical education. METHODS: A literature search was conducted using PubMed, Embase, Web of Science, Cochrane Library, and Google Scholar. This review followed PRISMA guidelines and included publications from January 1, 2000 to June 18, 2018. Inclusion criteria were experimental studies evaluating ARAs implemented in healthcare education published in English. Our review evaluated study quality and determined whether studies assessed ARA validity using criteria established by the GRADE Working Group and Gallagher et al., respectively. These findings were used to formulate an analytical model to assess the readiness of ARAs for implementation in medical education. RESULTS: We identified 100,807 articles in the initial literature search; 36 met inclusion criteria for final review and were categorized into three categories: Surgery (23), Anatomy (9), and Other (4). The overall quality of the studies was poor and no ARA was tested for all five stages of validity. Our analytical model evaluates the importance of research quality, application content, outcomes, and feasibility of an ARA to gauge its readiness for implementation. CONCLUSION: While AR technology is growing at a rapid rate, the current quality and breadth of AR research in medical training is insufficient to recommend the adoption into educational curricula. We hope our analytical model will help standardize AR assessment methods and define the role of AR technology in medical education. Canadian Medical Education Journal 2020-03-16 /pmc/articles/PMC7082471/ /pubmed/32215146 http://dx.doi.org/10.36834/cmej.61705 Text en © 2020 Tang, Cheng, Mi, Greenberg; licensee Synergies Partners http://creativecommons.org/licenses/by/2.0 This is an Open Journal Systems article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Papers and Meta-Analyses
Tang, Kevin S.
Cheng, Derrick L.
Mi, Eric
Greenberg, Paul B.
Augmented reality in medical education: a systematic review
title Augmented reality in medical education: a systematic review
title_full Augmented reality in medical education: a systematic review
title_fullStr Augmented reality in medical education: a systematic review
title_full_unstemmed Augmented reality in medical education: a systematic review
title_short Augmented reality in medical education: a systematic review
title_sort augmented reality in medical education: a systematic review
topic Review Papers and Meta-Analyses
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7082471/
https://www.ncbi.nlm.nih.gov/pubmed/32215146
http://dx.doi.org/10.36834/cmej.61705
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