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Augmented reality in healthcare education: an integrative review

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TLDR
This study showed that AR was applied in a wide range of topics in healthcare education and acceptance for AR as a learning technology was reported among the learners and its potential for improving different types of competencies.
Abstract
Background. Developing healthcare competencies in students and professionals poses great educational challenges. A possible solution is to provide learning opportunities that utilize augmented reality (AR), where virtual learning experiences can be embedded within a real physical context. The aim of this study was to provide a comprehensive overview of the current state of AR in terms of user acceptance, the AR applications currently developed and the effect of AR on the development of competencies in healthcare. Methods. We conducted an integrative review, which is the broadest type of research review method allowing for the inclusion of various research designs. This allows us to more fully understand a phenomenon of interest. Our review included multi-disciplinary research publications in English reported until 2012. Results. We found 2 529 research papers from ERIC, CINAHL, Medline, PubMed, Web of Science and Springer-link. Three qualitative, twenty quantitative and two mixed-method studies were included. Using thematic analysis, we have described characteristics for research, technology and education. This study showed that AR was applied across a wide range of topics in healthcare education. Furthermore, acceptance for AR as a learning technology was reported among the learners, as well as its potential for improving different types of competencies. Discussion. AR is still considered a novelty in the literature, with most of the studies reporting early prototypes. Additionally, the designed AR applications lacked an explicit pedagogical theoretical framework. Instead, the learning strategies adopted were of the traditional style ‘see one, do one and teach one’ and do not integrate clinical competencies to ensure patients’ safety.

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TL;DR: This review suggests the progress of learning approaches based on AR and MR for various medical subjects while moving the research base away from feasibility studies on prototypes, lacking validity of study conclusions, heterogeneity of research designs and widely varied reporting challenges transferability of the findings in the studies included in the review.
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Augmented Reality in Emergency Medicine: A Scoping Review

TL;DR: The results from the review of the literature in emergency medicine and other specialties reveal that further research into the uses of augmented reality will have a substantial role in changing how emergency medicine as a specialty will deliver care and provide education and training.
References
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Journal ArticleDOI

A typology of reviews: An analysis of 14 review types and associated methodologies

TL;DR: Few review types possess prescribed and explicit methodologies and many fall short of being mutually exclusive, but this typology provides a valuable reference point for those commissioning, conducting, supporting or interpreting reviews, both within health information and the wider health care domain.
Proceedings ArticleDOI

Trends in augmented reality tracking, interaction and display: A review of ten years of ISMAR

TL;DR: This paper reviews the ten-year development of the work presented at the ISMAR conference and its predecessors with a particular focus on tracking, interaction and display research, providing a roadmap for future augmented reality research.
Journal ArticleDOI

Environmental Detectives—the development of an augmented reality platform for environmental simulations

TL;DR: A development process in creating a development platform for augmented reality games that draws from rapid prototyping, learner-centered software, and contemporary game design methodologies is described and an approach to designing educational software on emerging technology platforms is articulate.
Proceedings ArticleDOI

Merging virtual objects with the real world: seeing ultrasound imagery within the patient

TL;DR: Initial results which show “live” ultrasound echography data visualized within a pregnant human subject is described, which may have many other applications, e.g., image guided surgical procedures and on location 3D interactive architecture preview.
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