Evidence map›Paper›PMID 39535116›Full record

ArticleAnnals of medicine2024

Metaverse-based simulation: a scoping review of charting medical education over the last two decades in the lens of the 'marvelous medical education machine'.

Vitaliy Popov, Natalie Mateju, Caris Jeske, Kadriye O Lewis

Abstract readScoping Review
In one paragraph

Article in Annals of medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

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  10. Rallying for Reflection: Pilot Use of Rubric to Facilitate Self-Reflection in Dental Education.European journal of dental education : official journal of the Association for Dental Education in Europe · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Vitaliy PopovDepartment of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, MI, USA.ORCID 0000-0003-2348-5285
Natalie MatejuDepartment of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, MI, USA.
Caris JeskeDepartment of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, MI, USA.
Kadriye O LewisChildren's Mercy Kansas City, Department of Pediatrics, UMKC School of Medicine, Kansas City, MO, USA.ORCID 0000-0001-5947-409X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOver the past two decades, the use of Metaverse-enhanced simulations in medical education has witnessed significant advancement. These simulations offer immersive environments and technologies, such as augmented reality, virtual reality, and artificial intelligence that have the potential to revolutionize medical training by providing realistic, hands-on experiences in diagnosing and treating patients, practicing surgical procedures, and enhancing clinical decision-making skills. This scoping review aimed to examine the evolution of simulation technology and the emergence of metaverse applications in medical professionals' training, guided by Friedman's three dimensions in medical education: physical space, time, and content, along with an additional dimension of assessment.

methodsIn this scoping review, we examined the related literature in six major databases including PubMed, EMBASE, CINAHL, Scopus, Web of Science, and ERIC. A total of 173 publications were selected for the final review and analysis. We thematically analyzed these studies by combining Friedman's three-dimensional framework with assessment.

resultsOur scoping review showed that Metaverse technologies, such as virtual reality simulation and online learning modules have enabled medical education to extend beyond physical classrooms and clinical sites by facilitating remote training. In terms of the Time dimension, simulation technologies have made partial but meaningful progress in supplementing traditional time-dependent curricula, helping to shorten learning curves, and improve knowledge retention. As for the Content dimension, high-quality simulation and metaverse content require alignment with learning objectives, interactivity, and deliberate practice that should be developmentally integrated from basic to advanced skills. With respect to the Assessment dimension, learning analytics and automated metrics from metaverse-enabled simulation systems have enhanced competency evaluation and formative feedback mechanisms. However, their integration into high-stakes testing is limited, and qualitative feedback and human observation remain crucial.

conclusionOur study provides an updated perspective on the achievements and limitations of using simulation to transform medical education, offering insights that can inform development priorities and research directions for human-centered, ethical metaverse applications that enhance healthcare professional training.

Indexed as

Clinical CompetenceEducation, MedicalVirtual RealityArtificial IntelligenceAugmented RealityHumansSimulation Trainingaugmented realityclinical simulationemerging technologieseXtended realityMedical educationmetaversemixed realityvirtual reality

Identifiers

PMID39535116
PMCPMC11562026

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.