CAREER: Mitigating vigilance decrement in the clinical environment

职业：减轻临床环境中的警惕性下降

• 批准号: 2237661
• 负责人: Ji-Eun Kim
• 金额: $ 55.63万
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-06-01 至 2028-05-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2237661&HistoricalAwards=false
• 关键词: CAREER; Mitigating; vigilance; decrement; clinical

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.

对于高风险系统中的工作人员来说，长期保持一致的警惕性至关重要。警惕性下降，即在监测和筛查偶然和不可预测的信号时经常发生的绩效下降，危及健康和安全，并威胁工人的效率。警惕性下降在临床医疗环境中很常见，因为临床环境需要轮班工作、工作时间长、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，监测警惕性下降至关重要。即便如此，临床警惕性的监测在很大程度上依赖于行为指标，而行为指标又依赖于回顾性或基于实验室的数据，而这两种方法对于在诊所中实时连续跟踪个人的警惕性水平都是不可行的。迄今为止，尚未部署人类技术界面来提供个性化监测和干预，以减轻现实世界临床操作中的警惕性下降。该项目的目标是测试基于传感器的自我监测系统可以减少警惕性下降的研究假设。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）和眼球运动来评估警惕性下降的指标； (2) 使用概率模型预测警惕性下降的框架； (3) 人性化技术界面，提供个性化干预措施以减轻警惕性下降； (4) 评估工具包，用于衡量任何高风险环境下警惕性降低干预措施的有效性。从实地研究、对照实验和可用性研究中收集的数据将被整合到一个框架中，该框架可用于监测和减轻警惕性下降。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下降，并有可能使用最新的客观数据整合到医院工作人员调度中。从长远来看，使用用户友好且低成本、轻型商用现成可穿戴传感器的监测界面将使其非常适合在远程医疗系统和临床环境之外使用，例如运输和空中交通管制，其中操作员需要在高工作负载情况下执行艰巨的任务。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优势和更广泛的评估进行评估，认为值得支持。 影响审查标准。