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:	Kevin S. Tang, Derrick L. Cheng, Eric Mi, Paul B. Greenberg
Formato:	article
Lenguaje:	EN
Publicado:	Canadian Medical Education Journal 2020
Materias:	Education (General) L7-991 Medicine (General) R5-920
Acceso en línea:	https://doaj.org/article/f745801f423b41fc83270d5cefa550bc
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spelling	oai:doaj.org-article:f745801f423b41fc83270d5cefa550bc2021-12-01T22:41:31ZAugmented reality in medical education: a systematic review10.36834/cmej.617051923-1202https://doaj.org/article/f745801f423b41fc83270d5cefa550bc2020-03-01T00:00:00Zhttps://journalhosting.ucalgary.ca/index.php/cmej/article/view/61705https://doaj.org/toc/1923-1202 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. Kevin S. TangDerrick L. ChengEric MiPaul B. GreenbergCanadian Medical Education JournalarticleEducation (General)L7-991Medicine (General)R5-920ENCanadian Medical Education Journal, Vol 11, Iss 1 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Education (General) L7-991 Medicine (General) R5-920
spellingShingle	Education (General) L7-991 Medicine (General) R5-920 Kevin S. Tang Derrick L. Cheng Eric Mi Paul B. Greenberg Augmented reality in medical education: a systematic review
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.
format	article
author	Kevin S. Tang Derrick L. Cheng Eric Mi Paul B. Greenberg
author_facet	Kevin S. Tang Derrick L. Cheng Eric Mi Paul B. Greenberg
author_sort	Kevin S. Tang
title	Augmented reality in medical education: a systematic review
title_short	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_sort	augmented reality in medical education: a systematic review
publisher	Canadian Medical Education Journal
publishDate	2020
url	https://doaj.org/article/f745801f423b41fc83270d5cefa550bc
work_keys_str_mv	AT kevinstang augmentedrealityinmedicaleducationasystematicreview AT derricklcheng augmentedrealityinmedicaleducationasystematicreview AT ericmi augmentedrealityinmedicaleducationasystematicreview AT paulbgreenberg augmentedrealityinmedicaleducationasystematicreview
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Augmented reality in medical education: a systematic review

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