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Advancing Our Understandings of Healthcare Team Dynamics From the Simulation Room to the Operating Room: A Neurodynamic Perspective

机译:从模拟室到手术室,从神经动力学的角度提高我们对医疗团队动态的理解

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摘要

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.
机译:在医疗保健中使用生物识别数据的团队和团队成员动态的初始模型很可能来自模拟。但是,我们对基于仿真的高分辨率动态将反映出与现场患者合作的团队的动态信心如何?我们开发了神经外科小组的神经动力学模型,他们对患者进行了腓骨神经减压手术以解决这个问题。这些模型是根据脑电图得出的指标构建的,这些指标提供了团队和团队成员对任务不确定性的神经动力学反应的每秒估算。麻醉师和两名神经外科医生在患者准备和手术期间形成了神经动力组织升高的峰,通常是协调的,这类似于模拟训练中看到的峰,并且出现在患者准备和手术的重要时刻附近。随着分析沿神经动力学层次向下移动,并且在逐渐缩小的时间尺度上比较了插管过程中发生的模拟和实时患者神经动力学,头皮位置和脑电图频率之间出现了差异。最显着的是在活体患者插管过程中额叶头皮传感器检测到的伽玛节律得到了明显抑制,这在插管过程的模拟试验中是没有的。这些结果表明,虽然在模拟和现场患者环境中,小组第二次神经动力学的特征相似,但更深入的分析表明,负责这些小组动力学的脑电图频率和头皮位置存在差异。随着个人和团队绩效的测度越来越微观化和动态化,并且模拟已扩展到虚拟环境中,这些结果表明,需要在实时环境中进行并行研究以验证所观察到的认知动态。

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