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A User Interface Informing Medical Staff on Continuous Indoor Environmental Quality to Support Patient Care and Airborne Disease Mitigation

机译:用户界面向医务人员通知持续室内环境质量,以支持患者护理和空中疾病缓解

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This project seeks to investigate the under addressed issue of indoor environmental quality (IEQ) and the impacts these factors can have on human health. The recent COVID-19 pandemic has once again brought to the forefront the importance of maintaining a healthy indoor environment. Specifically, the improvement of indoor air flow has shown to reduce the risk of airborne virus exposure. This is extremely important in the context of hospitals, which contain high concentrations of atrisk individuals. Thus, the need to create a healthy indoor space is critical to improve public health and COVID-19 mitigation efforts. To create knowledge and provide insight on environmental qualities in the hospital setting, the authors have designed and built an interface to deploy in the University of Virginia Hospital Emergency Department (ED). The interface will display room-specific light, noise, temperature, CO2, humidity, VOC, and PM2.5 levels measured by the low-cost Awair Omni sensor. These insights will assist ED clinicians in mitigating disease-spread and improving patient health and satisfaction while reducing caregiver burden. The team addressed the problem through agile development involving localized sensor deployment and analysis, discovery interviews with hospital clinicians and data scientists throughout, and the implementation of a human-design centered Django interface application. Furthermore, a literature survey was conducted to ascertain appropriate thresholds for the different environmental factors. Together, this work demonstrates opportunities to assist and improve patient care with environmental data.
机译:该项目旨在调查根据室内环境质量(IEQ)的解决问题,并影响这些因素对人类健康的影响。最近的Covid-19 Pandemice再次带到了保持健康室内环境的重要性。具体地,室内空气流的改善表明,降低了空气传播病毒暴露的风险。这在医院的背景下非常重要,其中包含高浓度的ATRISK个人。因此,创造健康的室内空间的需要对于改善公共卫生和Covid-19缓解努力至关重要。为了创造知识并提供关于医院环境中的环境质量的洞察力,作者设计并建立了一个涉及在弗吉尼亚州大学急诊部门(ED)的界面。界面将展示特定房间的光,噪音,温度,CO 2 ,湿度,VOC和PM 2.5 低成本互联网传感器测量的水平。这些见解将帮助Ed临床医生减轻疾病 - 蔓延和改善患者健康和满意度,同时降低照顾者负担。该团队通过敏捷发展解决了涉及本地化传感器部署和分析的问题,发现与医院临床医生和数据科学家的发现访谈,以及人类设计中心的Django接口应用程序的实施。此外,进行了文献调查以确定不同环境因素的适当阈值。在一起,这项工作展示了协助和改善患者护理环境数据的机会。

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