Utilizing a surgical sabermetrics framework during major haemorrhage simulation to assess trainee cognitive load and performance

Abstract Vascular surgery training programs lack high-fidelity simulation for management of major haemorrhage, despite it being a fundamental and demanding skill. Cognitive load (CogL) is the finite working memory resource required to meet the demands of a task. Cognitive overload occurs when demand exceeds capacity, and this can negatively affect both technical and non-technical skills in surgery. Surgical Sabermetrics is an evolving field focusing on the advanced analytics of data derived from procedural audiovisual recordings and non-invasive physiological sensors measuring surgeon CogL. The planned simulation will assess surgical trainee management of major haemorrhage from a femoral artery model in a high-fidelity simulated operating room. It will immediately follow on from a separate but related simulation in which trainees are subjected to either critical or supportive trainer behavior during a routine femoral anastomosis. The study aims to assess whether prior exposure to incivility impacts trainee performance or cognition when independently managing a high pressure major bleeding scenario. A sabermetrics framework will be utilized to collate objective data about participant technical performance, non-technical skills and CogL. Full ethical approval has been obtained for this study. Dissemination of the results will be through conferences and publications in peer reviewed journals.

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Publication Details

Journal
Journal of Surgical Protocols and Research Methodologies
Published
2025-01-01
DOI
https://doi.org/10.1093/jsprm/snaf016
Primary Topic
Surgical Simulation and Training
Type
article
Field-Weighted Citation Impact
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article

Utilizing a surgical sabermetrics framework during major haemorrhage simulation to assess trainee cognitive load and performance

Andrew L. Tambyraja, Steven Yule, Connor Boyle, Joel Norton et al.
Journal of Surgical Protocols and Research Methodologies
Surgical Simulation and Training
article

Utilizing a surgical sabermetrics framework during major haemorrhage simulation to assess trainee cognitive load and performance

Andrew L. Tambyraja, Steven Yule, Connor Boyle, Joel Norton, Lachlan Dick, Elgan-Manton Roseblade
article en

Abstract

Abstract Vascular surgery training programs lack high-fidelity simulation for management of major haemorrhage, despite it being a fundamental and demanding skill. Cognitive load (CogL) is the finite working memory resource required to meet the demands of a task. Cognitive overload occurs when demand exceeds capacity, and this can negatively affect both technical and non-technical skills in surgery. Surgical Sabermetrics is an evolving field focusing on the advanced analytics of data derived from procedural audiovisual recordings and non-invasive physiological sensors measuring surgeon CogL. The planned simulation will assess surgical trainee management of major haemorrhage from a femoral artery model in a high-fidelity simulated operating room. It will immediately follow on from a separate but related simulation in which trainees are subjected to either critical or supportive trainer behavior during a routine femoral anastomosis. The study aims to assess whether prior exposure to incivility impacts trainee performance or cognition when independently managing a high pressure major bleeding scenario. A sabermetrics framework will be utilized to collate objective data about participant technical performance, non-technical skills and CogL. Full ethical approval has been obtained for this study. Dissemination of the results will be through conferences and publications in peer reviewed journals.

Journal of Surgical Protocols and Research MethodologiesVol. 2025
Edinburgh Royal Infirmary (GB), University of Edinburgh (GB)
Openalex Percentile: Top 40%
Surgical Simulation and Training
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