Evidence map›Paper›PMID 35999532›Full record

ArticleBMC medical education2022

The use of mixed reality technology for the objective assessment of clinical skills: a validation study.

Iona Minty, Jason Lawson, Payal Guha, Xun Luo, Rukhnoor Malik, Raminta Cerneviciute, James Kinross, Guy Martin

Open access · goldAbstract read
In one paragraph

Article in BMC medical education, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
5.0field-weighted citation impact, top 4% of its field
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Article
  9. Feasibility and reliability of the pandemic-adapted online-onsite hybrid graduation OSCE in Japan.Advances in health sciences education : theory and practice · 2024
    Article
  10. Observational
  11. Article
  12. HoloLensTherapeutic advances in urology
    Review
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

8 authors at 3 institutions in 1 country.

Iona Minty *Department of Surgery and Cancer, Imperial College London, St Mary's Hospital, 10th Floor QEQM Building, London, W2 1NY, UK.
Jason Lawson *Department of Surgery and Cancer, Imperial College London, St Mary's Hospital, 10th Floor QEQM Building, London, W2 1NY, UK.
Payal GuhaDepartment of Surgery and Cancer, Imperial College London, St Mary's Hospital, 10th Floor QEQM Building, London, W2 1NY, UK.
Xun LuoDepartment of Surgery and Cancer, Imperial College London, St Mary's Hospital, 10th Floor QEQM Building, London, W2 1NY, UK.
Rukhnoor MalikDepartment of Surgery and Cancer, Imperial College London, St Mary's Hospital, 10th Floor QEQM Building, London, W2 1NY, UK.
Raminta CerneviciuteDepartment of Surgery and Cancer, Imperial College London, St Mary's Hospital, 10th Floor QEQM Building, London, W2 1NY, UK.
James KinrossDepartment of Surgery and Cancer, Imperial College London, St Mary's Hospital, 10th Floor QEQM Building, London, W2 1NY, UK.
Guy MartinDepartment of Surgery and Cancer, Imperial College London, St Mary's Hospital, 10th Floor QEQM Building, London, W2 1NY, UK. guy.martin@imperial.ac.uk.
St Mary's Hospital · GBImperial College London · GBSt. Mary's Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMixed Reality technology may provide many advantages over traditional teaching methods. Despite its potential, the technology has yet to be used for the formal assessment of clinical competency. This study sought to collect validity evidence and assess the feasibility of using the HoloLens 2 mixed reality headset for the conduct and augmentation of Objective Structured Clinical Examinations (OSCEs).

methodsA prospective cohort study was conducted to compare the assessment of undergraduate medical students undertaking OSCEs via HoloLens 2 live (HLL) and recorded (HLR), and gold-standard in-person (IP) methods. An augmented mixed reality scenario was also assessed.

resultsThirteen undergraduate participants completed a total of 65 OSCE stations. Overall inter-modality correlation was 0.81 (p = 0.01), 0.98 (p = 0.01) and 0.82 (p = 0.01) for IP vs. HLL, HLL vs. HLR and IP vs. HLR respectively. Skill based correlations for IP vs. HLR were assessed for history taking (0.82, p = 0.01), clinical examination (0.81, p = 0.01), procedural (0.88, p = 0.01) and clinical skills (0.92, p = 0.01), and assessment of a virtual mixed reality patient (0.74, p = 0.01). The HoloLens device was deemed to be usable and practical (Standard Usability Scale (SUS) score = 51.5), and the technology was thought to deliver greater flexibility and convenience, and have the potential to expand and enhance assessment opportunities.

conclusionsHoloLens 2 is comparable to traditional in-person examination of undergraduate medical students for both live and recorded assessments, and therefore is a valid and robust method for objectively assessing performance. The technology is in its infancy, and users need to develop confidence in its usability and reliability as an assessment tool. However, the potential to integrate additional functionality including holographic content, automated tracking and data analysis, and to facilitate remote assessment may allow the technology to enhance, expand and standardise examinations across a range of educational contexts.

Indexed as

Augmented RealityStudents, MedicalClinical CompetenceEducational MeasurementHumansProspective StudiesReproducibility of ResultsTechnologyAssessmentInnovationMedical educationMixed reality technology

Identifiers

PMID35999532
PMCPMC9395785
OpenAlexW4292707929

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.