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Sensors for Continuous Monitoring of Surgeon’s Cognitive Workload in the Cardiac Operating Room

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,...

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Autores principales: Kennedy-Metz, Lauren R., Dias, Roger D., Srey, Rithy, Rance, Geoffrey C., Furlanello, Cesare, Zenati, Marco A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7699221/
https://www.ncbi.nlm.nih.gov/pubmed/33227967
http://dx.doi.org/10.3390/s20226616
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author Kennedy-Metz, Lauren R.
Dias, Roger D.
Srey, Rithy
Rance, Geoffrey C.
Furlanello, Cesare
Zenati, Marco A.
author_facet Kennedy-Metz, Lauren R.
Dias, Roger D.
Srey, Rithy
Rance, Geoffrey C.
Furlanello, Cesare
Zenati, Marco A.
author_sort Kennedy-Metz, Lauren R.
collection PubMed
description 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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spelling pubmed-76992212020-11-29 Sensors for Continuous Monitoring of Surgeon’s Cognitive Workload in the Cardiac Operating Room Kennedy-Metz, Lauren R. Dias, Roger D. Srey, Rithy Rance, Geoffrey C. Furlanello, Cesare Zenati, Marco A. Sensors (Basel) Letter 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. MDPI 2020-11-19 /pmc/articles/PMC7699221/ /pubmed/33227967 http://dx.doi.org/10.3390/s20226616 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Letter
Kennedy-Metz, Lauren R.
Dias, Roger D.
Srey, Rithy
Rance, Geoffrey C.
Furlanello, Cesare
Zenati, Marco A.
Sensors for Continuous Monitoring of Surgeon’s Cognitive Workload in the Cardiac Operating Room
title Sensors for Continuous Monitoring of Surgeon’s Cognitive Workload in the Cardiac Operating Room
title_full Sensors for Continuous Monitoring of Surgeon’s Cognitive Workload in the Cardiac Operating Room
title_fullStr Sensors for Continuous Monitoring of Surgeon’s Cognitive Workload in the Cardiac Operating Room
title_full_unstemmed Sensors for Continuous Monitoring of Surgeon’s Cognitive Workload in the Cardiac Operating Room
title_short Sensors for Continuous Monitoring of Surgeon’s Cognitive Workload in the Cardiac Operating Room
title_sort sensors for continuous monitoring of surgeon’s cognitive workload in the cardiac operating room
topic Letter
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7699221/
https://www.ncbi.nlm.nih.gov/pubmed/33227967
http://dx.doi.org/10.3390/s20226616
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