Evidence map›Paper›PMID 41709739›Full record

ArticleThe British journal of surgery2026

Identifying novel indicators of non-technical skills derived from operative video annotation.

Lachlan Dick, Connor Boyle, Victoria Ruth Tallentire, Joel Norton, Emma Howie, Douglas S Smink, Richard J E Skipworth, Steven Yule, Surgical Video Grading and Assessment (SVGA) Group

Abstract read
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Article in The British journal of surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

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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

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5 · Who and what money

Authors and funding

9 authors.

Lachlan DickSurgical Sabermetrics Laboratory, Usher Institute, University of Edinburgh, Edinburgh, UK.ORCID 0000-0002-4341-9501
Connor BoyleSurgical Sabermetrics Laboratory, Usher Institute, University of Edinburgh, Edinburgh, UK.ORCID 0000-0003-2124-607X
Victoria Ruth TallentireMedical Education Directorate, Royal Infirmary of Edinburgh, NHS Lothian, Edinburgh, UK.
Joel NortonSurgical Sabermetrics Laboratory, Usher Institute, University of Edinburgh, Edinburgh, UK.
Emma HowieSurgical Sabermetrics Laboratory, Usher Institute, University of Edinburgh, Edinburgh, UK.
Douglas S SminkDepartment of Surgery, Brigham and Women's Hospital/Harvard Medical School, Boston, Massachusetts, USA.
Richard J E SkipworthSurgical Sabermetrics Laboratory, Usher Institute, University of Edinburgh, Edinburgh, UK.ORCID 0000-0003-1428-4078
Steven YuleSurgical Sabermetrics Laboratory, Usher Institute, University of Edinburgh, Edinburgh, UK.ORCID 0000-0001-9889-9090
Surgical Video Grading and Assessment (SVGA) Group

Funding

NHS Lothian Medical Education DirectorateNHS Research Scotland
6 · The paper itself

Abstract

backgroundCognitive non-technical skills (NTS), including situation awareness and decision-making, are critical determinants of surgical outcomes. Current NTS assessments depend on expert human observation, which is resource-intensive and difficult to scale. To address this, we investigated whether surgical gestures, derived from annotated video of the surgical field, could serve as objective indicators of cognitive NTS.

methodsA data set of 40 open-source laparoscopic appendicectomy videos was annotated for temporal (for example surgical gestures) and spatial (for example coordinates of actions) indicators of surgical NTS. Using the Non-Technical Skills for Surgeons (NOTSS) tool, 12 expert observers independently assessed decision-making (1-4) and situation awareness (1-4). Multivariable linear regression analysed video-derived indicators predictive of NTS.

resultsAcross all videos, a total of 10 385 events were annotated, generating 87 374 data points. The mean cognitive NOTSS rating was 5.6 (s.d. 0.8) out of 8, with decision-making and situation awareness highly correlated (r = 0.8, P  <  0.001). The final multivariable model explained 39.6% of the variance in expert cognitive NOTSS ratings, identifying five predictors: dexterity index, events during the final operative phase, coagulating events, dropping actions, and actions targeting the small bowel.

conclusionThis study provides evidence that non-technical skills can be inferred from silent video of the surgical field alone. These findings lay the foundations for scalable, automated tools to evaluate surgeons' cognitive processes offering new avenues to improve surgical training, performance and outcomes.

Indexed as

Clinical CompetenceLaparoscopyVideo RecordingAwarenessCognitionDecision MakingHumans

Identifiers

PMID41709739
PMCPMC13036482

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LicenceCC BY
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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.