ArticleIEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA)2020
Autonomic Activity and Surgical Flow Disruptions in Healthcare Providers during Cardiac Surgery.
Article in IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Chemotherapy Under Fire: Narratives of Patients With Cancer During Wartime.Psycho-oncology · 2025Trial
- A novel multimodal, intraoperative cognitive workload assessment of cardiac surgery team members.The Journal of thoracic and cardiovascular surgery · 2025Article
- An Open-Source, Interoperable Architecture for Generating Real-Time Surgical Team Cognitive Alerts from Heart-Rate Variability Monitoring.Sensors (Basel, Switzerland) · 2023Article
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6 authors.
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Abstract
Cardiac surgery represents a complex sociotechnical environment relying on a combination of technical and non-technical team-based expertise. Surgical flow disruptions (SFDs) may be influenced by a variety of sources, including social, environmental, and emotional factors affecting healthcare providers (HCPs). Many of these factors can be readily observed, except for emotional factors (i.e. distress), which represents an underappreciated yet critical source of SFDs. The aim of this study was to demonstrate the sensitivity of autonomic activity metrics to detect an SFD during cardiac surgery. We integrated heart rate variability (HRV) analysis with observation-based annotations to allow data triangulation. Following a critical medication administration error by the anesthesiologist in-training, data sources were consulted to identify events precipitating this near-miss event. Using
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