Evidence map›Paper›PMID 41884858›Full record

ReviewAdvances in medical education and practice2026

From Conventional OSCE to Virtual Reality-Enhanced OSCE: A Narrative Review of Promise and Pitfalls in Medical Education.

Xiaohui Zhang, Xiaohong Lyu, Xisheng Weng, Yidong Zhou

Abstract readReview
In one paragraph

Review in Advances in medical education and practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Xiaohui Zhang *Department of Breast Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.
Xiaohong Lyu *Department of Breast Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.
Xisheng WengDepartment of Orthopedic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.
Yidong ZhouDepartment of Breast Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Objective Structured Clinical Examinations (OSCEs) are widely used to assess clinical competence but face growing challenges related to cost, scalability, standardization, and the assessment of complex clinical scenarios. Advances in virtual reality (VR) technology have prompted increasing interest in VR-enhanced OSCEs (VR-OSCEs) as a potential solution. Methods: This review examined the existing literature on the application of VR in OSCEs. Relevant studies were identified through searches of major electronic databases to provide a narrative overview of representative literature. Results: The included studies indicate that VR-OSCEs are primarily applied in virtual patient simulations, immersive clinical environments, and interactive procedural training. Overall, VR-OSCEs demonstrate improved standardization, enhanced learner engagement, objective performance tracking, and timely feedback compared with traditional OSCE formats. Evidence also suggests potential benefits in assessing rare or high-risk clinical scenarios, although variability exists in technological maturity and validation approaches. Conclusion: VR-OSCEs represent a promising evolution of clinical assessment in medical education, offering scalable, immersive, and data-driven evaluation opportunities. However, challenges related to cost, technical infrastructure, faculty training, and standardization remain. Further rigorous validation studies and hybrid assessment models are needed to support broader implementation and ensure educational effectiveness.

Indexed as

clinical skill assessmentimmersive learningmedical educationobjective structured clinical examinationvirtual reality

Identifiers

PMID41884858
PMCPMC13012308

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.