ArticleSensors (Basel, Switzerland)2020
Sensors for Continuous Monitoring of Surgeon's Cognitive Workload in the Cardiac Operating Room.
Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Designing Chinese hospital emergency departments to leverage artificial intelligence-a systematic literature review on the challenges and opportunities.Frontiers in medical technology · 2024Pooled it
- Development of a stakeholder-informed framework for the implementation of surgical sabermetrics to enhance training and education.The British journal of surgery · 2026Article
- Dynamic patterns of communication and workload during cardiac surgery: An explorative study.PloS one · 2026Article
- A scoping review of cognitive load assessment tools suitable for clinicians performing REBOA.Scandinavian journal of trauma, resuscitation and emergency medicine · 2025Article
- A novel multimodal, intraoperative cognitive workload assessment of cardiac surgery team members.The Journal of thoracic and cardiovascular surgery · 2025Article
- Using Digital Biomarkers for Objective Assessment of Perfusionists' Workload and Acute Stress During Cardiac Surgery.Bioinformatics and Biomedical Engineering : 10th International Work-Conference, IWBBIO 2023, Meloneras, Gran Canaria, Spain, July 12-14, 2023, Proceedings. Part I. IWBBIO (Conference) (10th : 2023 : Gran Canaria, Canary Islands) · 2023Article
- Protocol for a scoping review on 'surgical sabermetrics:' technology-enhanced measurement of operative non-technical skills.BMJ open · 2023Article
- Acquisition and Processing of Brain Signals.Sensors (Basel, Switzerland) · 2021Article
- Towards an AI Coach to Infer Team Mental Model Alignment in Healthcare.IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA) · 2021Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Monitoring healthcare providers' cognitive workload during surgical procedures can provide insight into the dynamic changes of mental states that may affect patient clinical outcomes. The role of cognitive factors influencing both technical and non-technical skill are increasingly being recognized, especially as the opportunities to unobtrusively collect accurate and sensitive data are improving. Applying sensors to capture these data in a complex real-world setting such as the cardiac surgery operating room, however, is accompanied by myriad social, physical, and procedural constraints. The goal of this study was to investigate the feasibility of overcoming logistical barriers in order to effectively collect multi-modal psychophysiological inputs via heart rate (HR) and near-infrared spectroscopy (NIRS) acquisition in the real-world setting of the operating room. The surgeon was outfitted with HR and NIRS sensors during aortic valve surgery, and validation analysis was performed to detect the influence of intra-operative events on cardiovascular and prefrontal cortex changes. Signals collected were significantly correlated and noted intra-operative events and subjective self-reports coincided with observable correlations among cardiovascular and cerebral activity across surgical phases. The primary novelty and contribution of this work is in demonstrating the feasibility of collecting continuous sensor data from a surgical team member in a real-world setting.
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Registered trials
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.