Evidence map›Paper›PMID 39084333›Full record

ArticleThe Journal of thoracic and cardiovascular surgery2025

A novel multimodal, intraoperative cognitive workload assessment of cardiac surgery team members.

Lauren R Kennedy-Metz, Heather M Conboy, Anna Liu, Roger D Dias, Rayan E Harari, Ajami Gikandi, Alexander Shapeton, Lori A Clarke, Leon J Osterweil, George S Avrunin and 3 more

Abstract read
In one paragraph

Article in The Journal of thoracic and cardiovascular surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

13 authors.

Lauren R Kennedy-MetzDepartment of Psychology, Roanoke College, Salem, Va; Medical Robotics & Computer-Assisted Surgery Laboratory, Harvard Medical School, Boston, Mass; Division of Cardiac Surgery, Veterans Affairs Boston Healthcare System, West Roxbury, Mass. Electronic address: kennedymetz@roanoke.edu.
Heather M ConboyManning College of Information & Computer Sciences, University of Massachusetts Amherst, Amherst, Mass.
Anna LiuManning College of Information & Computer Sciences, University of Massachusetts Amherst, Amherst, Mass.
Roger D DiasDivision of Emergency Medicine, STRATUS Center for Medical Simulation, Mass General Brigham, Boston, Mass.
Rayan E HarariDivision of Emergency Medicine, STRATUS Center for Medical Simulation, Mass General Brigham, Boston, Mass.
Ajami GikandiMedical Robotics & Computer-Assisted Surgery Laboratory, Harvard Medical School, Boston, Mass.
Alexander ShapetonDivision of Cardiac Surgery, Veterans Affairs Boston Healthcare System, West Roxbury, Mass.
Lori A ClarkeManning College of Information & Computer Sciences, University of Massachusetts Amherst, Amherst, Mass.
Leon J OsterweilManning College of Information & Computer Sciences, University of Massachusetts Amherst, Amherst, Mass.
George S AvruninDepartment of Mathematics and Statistics, University of Massachusetts Amherst, Amherst, Mass.
Theodora ChaspariComputer Science & Institute of Cognitive Sciences, University of Colorado Boulder, Boulder, Colo.
Steven YuleCentre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, Scotland.
Marco A ZenatiMedical Robotics & Computer-Assisted Surgery Laboratory, Harvard Medical School, Boston, Mass; Division of Cardiac Surgery, Veterans Affairs Boston Healthcare System, West Roxbury, Mass; Division of Cardiac Surgery, Mass General Brigham, Boston, Mass.

Funding

Developing Standardized Intraoperative Process Models to Enhance Surgical SafetyR01HL126896 · NHLBI · HARVARD MEDICAL SCHOOL · PI ZENATI, MARCO A. · 2016 to 2023
$3.7M
Intelligent Perfusion Digital Twin to Improve Patient Safety and Quality in Cardiac SurgeryR01HL157457 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI Roger Daglius Dias, Matthew Gombolay · 2022 to 2026
$3.0M
A ROBOT-ASSISTED PERFUSION SYSTEM TO IMPROVE PATIENT SAFETY IN THE CARDIAC OPERATING ROOMR56HL157457 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI DIAS, ROGER DAGLIUS, GOMBOLAY, MATTHEW · 2021 to 2021
$842k
NHLBI NIH HHS R01 HL126896NHLBI NIH HHS R01 HL157457NHLBI NIH HHS R56 HL157457
6 · The paper itself

Abstract

objectiveTo characterize cognitive workload (CWL) of cardiac surgery team members in a real-world setting during coronary artery bypass grafting (CABG) surgery using providers' heart rate variability (HRV) data as a surrogate measure of CWL.

methodsHRV was collected from the surgeon, anesthesiologist, perfusionist, and scrub nurse, and audio/video recordings were made during isolated, nonemergency CABG surgeries (n = 27). Eight surgical phases were annotated by trained researchers, and HRV was calculated for each phase.

resultsSignificant differences in CWL were observed within a given role across surgical phases. Results are reported as predicted probability (95% confidence interval [CI]). CWL was significantly higher for anesthesiologists during "preparation and induction" (0.57; 95% CI, 0.42-0.71) and "anastomoses" (0.44; 95% CI, 0.30-0.58) compared to other phases, and the same held for nurses during the "opening" (0.51; 95% CI, 0.37-0.65) and "postoperative" (0.68; 95% CI, 0.42-0.86) phases. Additional significant differences were observed between roles within a given surgical phase. For example, surgeons had significantly higher CWL during "anastomoses" (0.81; 95% CI, 0.69-0.89) compared to all other phases, and the same was true of perfusionists during the "opening" (0.79; 95% CI, 0.66-0.88) and "prebypass preparation" (0.50; 95% CI, 0.36-0.64) phases.

conclusionsOur innovative analysis demonstrates that CWL fluctuates across surgical procedures by role and phase, which may reflect the distribution of primary tasks. This corroborates earlier findings from self-report measures. The data suggest that team-wide, peak CWL during a phase decreases from early phases of surgery through initiation of cardiopumonary bypass (CPB), rises during anastomosis, and decreases after termination of CPB. Knowledge of these trends could encourage the adoption of behaviors to enhance team dynamics and performance.

Indexed as

CognitionCoronary Artery BypassPatient Care TeamSurgeonsWorkloadAnesthesiologistsFemaleHeart RateHumansMaleMiddle Agedcardiac surgerycognitive workloadheart rate variabilityteams

Identifiers

PMID39084333
PMCPMC11775230

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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.