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Cited by 985

The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.

Virtual reality and the transformation of medical education

Open access
Pottle, Jack·2019·Future Healthcare Journal

Abstract

Medical education is changing. Simulation is increasingly becoming a cornerstone of clinical training and, though effective, is resource intensive. With increasing pressures on budgets and standardisation, virtual reality (VR) is emerging as a new method of delivering simulation. VR offers benefits for learners and educators, delivering cost-effective, repeatable, standardised clinical training on demand. A large body of evidence supports VR simulation in all industries, including healthcare. Though VR is not a panacea, it is a powerful educational tool for defined learning objectives and implementation is growing worldwide. The future of VR lies in its ongoing integration into curricula and with technological developments that allow shared simulated clinical experiences. This will facilitate quality interprofessional education at scale, independent of geography, and transform how we deliver education to the clinicians of the future.

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Registry

Crossref · 10.7861/fhj.2019-0036

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Metadata

Authors
Pottle, J.
Venue
Future Healthcare Journal
Publisher
Elsevier BV
Published
2019-10
Volume
6
Issue
3
Pages
181-185
ISSN
2514-6645 (ISSN-L)
OpenAlex
W2979585747
Cited by
985
References
15
FWCI
31.72
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Virtual reality and the transformation of medical education. https://app.cochat.ai/papers/10.7861/fhj.2019-0036
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Pottle, J. (2019). Virtual reality and the transformation of medical education. Future Healthcare Journal. https://doi.org/10.7861/fhj.2019-0036

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.