Evidence map›Paper›PMID 38642297›Full record

ArticleInternational journal of computer assisted radiology and surgery2024

Stand in surgeon's shoes: virtual reality cross-training to enhance teamwork in surgery.

Benjamin D Killeen, Han Zhang, Liam J Wang, Zixuan Liu, Constantin Kleinbeck, Michael Rosen, Russell H Taylor, Greg Osgood, Mathias Unberath

Open access · greenAbstract read
In one paragraph

Article in International journal of computer assisted radiology and surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
5.2field-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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. TwinOR: photorealistic digital twins of dynamic operating rooms for embodied AI research.International journal of computer assisted radiology and surgery · 2026
    Article
  2. Article
  3. Intelligent control of robotic X-ray devices using a language-promptable digital twin.International journal of computer assisted radiology and surgery · 2025
    Article
  4. Article
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

9 authors at 1 institution in 2 countries.

Benjamin D Killeen *Johns Hopkins University, Baltimore, MD, 21218, USA. killeen@jhu.edu.ORCID http://orcid.org/0000-0003-2511-7929
Han Zhang *Johns Hopkins University, Baltimore, MD, 21218, USA.
Liam J WangJohns Hopkins University, Baltimore, MD, 21218, USA.
Zixuan LiuJohns Hopkins University, Baltimore, MD, 21218, USA.
Constantin KleinbeckJohns Hopkins University, Baltimore, MD, 21218, USA.
Michael RosenJohns Hopkins University, Baltimore, MD, 21218, USA.
Russell H TaylorJohns Hopkins University, Baltimore, MD, 21218, USA.
Greg OsgoodDepartment of Orthopaedic Surgery, Johns Hopkins Medicine, Baltimore, MD, 21218, USA.
Mathias UnberathJohns Hopkins University, Baltimore, MD, 21218, USA.
Johns Hopkins University · US

Funding

Task-aware and Autonomous Robotic C-arm Servoing for Flouroscopy-guided InterventionsR21EB028505 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI UNBERATH, MATHIAS · 2020 to 2022
$629k
Foundation for the National Institutes of Health R21EB028505National Science Foundation 2239077NIBIB NIH HHS R21 EB028505
6 · The paper itself

Abstract

purposeTeamwork in surgery depends on a shared mental model of success, i.e., a common understanding of objectives in the operating room. A shared model leads to increased engagement among team members and is associated with fewer complications and overall better outcomes for patients. However, clinical training typically focuses on role-specific skills, leaving individuals to acquire a shared model indirectly through on-the-job experience.

methodsWe investigate whether virtual reality (VR) cross-training, i.elet@tokeneonedotexposure to other roles, can enhance a shared mental model for non-surgeons more directly. Our study focuses on X-ray guided pelvic trauma surgery, a procedure where successful communication depends on the shared model between the surgeon and a C-arm technologist. We present a VR environment supporting both roles and evaluate a cross-training curriculum in which non-surgeons swap roles with the surgeon.

resultsExposure to the surgical task resulted in higher engagement with the C-arm technologist role in VR, as measured by the mental demand and effort expended by participants (

conclusionUntil now, VR applications for clinical training have focused on virtualizing existing curricula. We demonstrate how novel approaches which are not possible outside of a virtual environment, such as role swapping, may enhance the shared mental model of surgical teams by contextualizing each individual's role within the overall task in a time- and cost-efficient manner. As workflows grow increasingly sophisticated, we see VR curricula as being able to directly foster a shared model for success, ultimately benefiting patient outcomes through more effective teamwork in surgery.

Indexed as

Patient Care TeamVirtual RealityAdultClinical CompetenceCurriculumFemaleHumansMaleSurgeonsSurgery, Computer-AssistedComputer-assisted interventionsImage-guidedSurgical trainingX-ray

Identifiers

PMID38642297
PMCPMC11178441
OpenAlexW4394988440

What OpenQuestion holds

Textmetadata
LicenceTDM
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.