数据、网络和应用:犹他州冬季奥运会生物监测系统的技术描述。

Proceedings. AMIA Symposium Pub Date : 2002-01-01
Fu-Chiang Tsui, Jeremy U Espino, Michael M Wagner, Per Gesteland, Oleg Ivanov, Robert T Olszewski, Zhen Liu, Xiaoming Zeng, Wendy Chapman, Weng Keen Wong, Andrew Moore
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引用次数: 0

摘要

考虑到9 / 11事件后可能发生生物恐怖袭击的氛围和2002年犹他州盐湖城冬季奥运会的高调,我们挑战自己,在六周内使用我们现有的实时爆发和疾病监测(RODS)架构为犹他州部署了一个基于计算机的实时自动化生物监测系统,即犹他州实时爆发和疾病监测系统(Utah RODS)。在奥运会期间,Utah RODS收到了来自10个急诊科和20个无预约诊所的实时HL-7入院信息。它收集免费文本的主要投诉,使用自然语言处理将它们分类为七个前症类别之一,并提供一个web界面,用于实时显示时间序列图表、地理信息系统输出、爆发算法警报和病例细节。该系统发现了两起可能的疫情,但被认为是流感发病率上升的自然结果。Utah RODS让我们进一步了解了快速部署类似RODS系统的复杂性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data, network, and application: technical description of the Utah RODS Winter Olympic Biosurveillance System.

Given the post September 11th climate of possible bioterrorist attacks and the high profile 2002 Winter Olympics in the Salt Lake City, Utah, we challenged ourselves to deploy a computer-based real-time automated biosurveillance system for Utah, the Utah Real-time Outbreak and Disease Surveillance system (Utah RODS), in six weeks using our existing Real-time Outbreak and Disease Surveillance (RODS) architecture. During the Olympics, Utah RODS received real-time HL-7 admission messages from 10 emergency departments and 20 walk-in clinics. It collected free-text chief complaints, categorized them into one of seven prodromes classes using natural language processing, and provided a web interface for real-time display of time series graphs, geographic information system output, outbreak algorithm alerts, and details of the cases. The system detected two possible outbreaks that were dismissed as the natural result of increasing rates of Influenza. Utah RODS allowed us to further understand the complexities underlying the rapid deployment of a RODS-like system.

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