CAREER: Mitigating vigilance decrement in the clinical environment

随着时间的推移，保持一致的警惕水平对于高风险系统中的工作人员至关重要。警惕性下降，即在监测和筛选偶尔和不可预测的信号时经常发生的性能下降，危及健康和安全，并威胁工人的效率。警惕性降低在临床医疗保健环境中很常见，因为临床环境需要轮班工作和长时间工作，休息时间有限。鉴于警惕性对临床医生的工作满意度和生产力、患者安全和医疗质量的影响，监测警惕性降低至关重要。即便如此，临床警戒的监测在很大程度上依赖于依赖于回顾性或基于实验室的数据的行为指标，这两者对于在临床中真实的时间连续跟踪个体的警戒水平都是不可行的。到目前为止，还没有人的技术接口已部署提供个性化的监测和干预，以减轻警惕性递减在真实的世界的临床operations.The项目的目标是测试的研究假设，基于传感器的自我监测系统可以减少警惕性递减。本研究的预期结果包括（1）使用生理反应（即，心率、皮肤温度、皮肤电活动）和眼球运动;（2）使用概率模型预测警惕性降低的框架;（3）提供个性化干预以减轻警惕性降低的人类技术界面;以及（4）用于测量针对任何高风险环境的警惕性降低的干预的有效性的评估工具包。从现场研究、对照实验和可用性研究中收集的数据将整合到可用于监测和缓解警戒降低的框架中。该项目将深入了解如何最好地建模和减轻临床环境中的警惕性降低，并使用最新和客观的数据将其整合到医院工作人员的调度中。从长远来看，使用用户友好和低成本，轻便的商用现成可穿戴传感器的监测界面将使其非常适合用于远程医疗保健系统和临床环境之外，如运输和空中交通管制，操作员需要在高工作量情况下执行要求严格的任务。该奖项反映了NSF的法定使命，并通过使用评估被认为值得支持基金会的学术价值和更广泛的影响审查标准。

Maintaining consistent levels of vigilance over time is critical for workers in high-risk systems. Vigilance decrement, the decline in performance that often occurs when monitoring and screening for occasional and unpredictable signals, endangers health and safety and threatens the efficiency of workers. Vigilance decrement is common in clinical healthcare environments, as clinical environments require shift work and long working hours with limited time for rest. Monitoring vigilance decrement is critical given the impact of vigilance on job satisfaction and productivity of clinicians, patients safety, and healthcare quality. Even so, monitoring of clinical vigilance relies largely on behavioral indicators that depend on retrospective or laboratory-based data, neither of which is feasible for continuously tracking vigilance levels for individuals in real time in the clinic. To date, no human technology interfaces have been deployed to provide personalized monitoring and intervention to mitigate vigilance decrement in real world clinical operations.The goal of this project is to test the research hypothesis that a sensor-based self-monitoring system can reduce vigilance decrement. The anticipated outcomes of this study include (1) assessment metrics for vigilance decrement using physiological responses (i.e., heart rate, skin temperature, electrodermal activity) and eye movement; (2) a framework for predicting vigilance decrement using probabilistic models; (3) a human technology interface that provides personalized interventions to mitigate vigilance decrement; and (4) an evaluation toolkit for measuring the effectiveness of the intervention on vigilance decrement for any high-risk environment. Data collected from field studies, controlled experiments, and usability studies will be integrated into a framework that can be used to monitor and mitigate vigilance decrement. The project will provide insight into how best to model and mitigate vigilance decrement in the clinical environment, with its potential integration into hospital staff scheduling using up-to-date and objective data. In the long term, the monitoring interface using user-friendly and low-cost, lightweight commercial off-the-shelf wearable sensors will make it well suited for use in remote healthcare systems and beyond clinical settings, such as transportation and air traffic control, where operators need to perform demanding tasks under high workload situations.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.