Metaverse-based simulation: a scoping review of charting medical education over the last two decades in the lens of the ‘marvelous medical education machine’
Creators: name: Popov, Vitaliy
name: Mateju, Natalie
name: Jeske, Caris
name: Lewis, Kadriye O.
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Space Science
subject: Medicine
subject: Cell Biology
subject: Evolutionary Biology
subject: FOS: Biological sciences
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Information Systems not elsewhere classified
subject: Developmental Biology
subject: Science Policy

description: Over 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. In 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. Our 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. Our 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. The evolution of simulation technology and the emerging metaverse applications have significantly extended medical education beyond physical boundaries and time constraints, enabling learners to access a wider range of learning experiences thereby preparing them for the rapidly changing healthcare environment.Learning analytics and automated metrics from metaverse-enabled simulation systems have improved competency evaluation and formative feedback mechanisms. However, integration into high-stakes testing is limited, and qualitative feedback and human observation are still crucial.The use of technology in medical education has advanced significantly, but problems still exist with access, content quality, and integration into high-stakes assessments. These issues call for more innovation and research to find the best ways to incorporate learning analytics, metaverse applications, and fair, human-centered training methods. The evolution of simulation technology and the emerging metaverse applications have significantly extended medical education beyond physical boundaries and time constraints, enabling learners to access a wider range of learning experiences thereby preparing them for the rapidly changing healthcare environment. Learning analytics and automated metrics from metaverse-enabled simulation systems have improved competency evaluation and formative feedback mechanisms. However, integration into high-stakes testing is limited, and qualitative feedback and human observation are still crucial. The use of technology in medical education has advanced significantly, but problems still exist with access, content quality, and integration into high-stakes assessments. These issues call for more innovation and research to find the best ways to incorporate learning analytics, metaverse applications, and fair, human-centered training methods.