ArticleFrontiers in psychology2019
Advancing Our Understandings of Healthcare Team Dynamics From the Simulation Room to the Operating Room: A Neurodynamic Perspective.
Article in Frontiers in psychology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 20 citations in OpenAlex.
- Assessing the equivalency of face-to-face and online simulated patient interviews in an educational intervention.Advances in simulation (London, England) · 2024Article
- Boosting teamwork between scrub nurses and neurosurgeons: exploring the value of a role-played hands-on, cadaver-free simulation and systematic review of the literature.Frontiers in surgery · 2024Article
- multiSyncPy: A Python package for assessing multivariate coordination dynamics.Behavior research methods · 2023Article
- Exploring how healthcare teams balance the neurodynamics of autonomous and collaborative behaviors: a proof of concept.Frontiers in human neuroscience · 2022Article
- Parsing Neurodynamic Information Streams to Estimate the Frequency, Magnitude and Duration of Team Uncertainty.Frontiers in systems neuroscience · 2021Article
- The Evolution and Maturation of Teams in Organizations: Convergent Trends in the New Dynamic Science of Teams.Frontiers in psychology · 2020Article
- Neural Correlates of Group Versus Individual Problem Solving Revealed by fMRI.Frontiers in human neuroscience · 2020Article
- Analysis of Mirrored Psychophysiological Change of Cardiac Surgery Team Members During Open Surgery.Journal of surgical educationArticle
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The initial models of team and team member dynamics using biometric data in healthcare will likely come from simulations. But how confident are we that the simulation-derived high-resolution dynamics will reflect those of teams working with live patients? We have developed neurodynamic models of a neurosurgery team while they performed a peroneal nerve decompression surgery on a patient to approach this question. The models were constructed from EEG-derived measures that provided second-by-second estimates of the neurodynamic responses of the team and team members to task uncertainty. The anesthesiologist and two neurosurgeons developed peaks, often coordinated, of elevated neurodynamic organization during the patient preparation and surgery which were similar to those seen during simulation training, and which occurred near important episodes of the patient preparation and surgery. As the analyses moved down the neurodynamic hierarchy, and the simulation and live patient neurodynamics occurring during the intubation procedure were compared at progressively smaller time scales, differences emerged across scalp locations and EEG frequencies. The most significant was the pronounced suppression of gamma rhythms detected by the frontal scalp sensors during the live patient intubation which was absent in simulation trials of the intubation procedure. These results indicate that while profiles of the second-by-second neurodynamics of teams were similar in both the simulation and live patient environments, a deeper analysis revealed differences in the EEG frequencies and scalp locations of the signals responsible for those team dynamics. As measures of individual and team performance become more micro-scale and dynamic, and simulations become extended into virtual environments, these results argue for the need for parallel studies in live environments to validate the dynamics of cognition being observed.
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