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疾病监测系统的高级查询功能。

Advanced querying features for disease surveillance systems.

作者信息

Hashemian Mohammad R

机构信息

The Johns Hopkins University Applied Physics Laboratory.

出版信息

Online J Public Health Inform. 2010;2(1). doi: 10.5210/ojphi.v2i1.2847. Epub 2010 Apr 9.

Abstract

Most automated disease surveillance systems notify users of increases in the prevalence of reports in syndrome categories and allow users to view patient level data related to those increases. Occasionally, a more dynamic level of control is required to properly detect an emerging disease in a community. Dynamic querying features are invaluable when using existing surveillance systems to investigate outbreaks of newly emergent diseases or to identify cases of reportable diseases within data being captured for surveillance. The objective of the Advance Querying Tool (AQT) is to build a more flexible query interface for most web-based disease surveillance systems. This interface allows users to define and build their query as if they were writing a logical expression for a mathematical computation. The AQT allows users to develop, investigate, save, and share complex case definitions. It provides a flexible interface that accommodates both advanced and novice users, checks the validity of the expression as it is built, and marks errors for users.

摘要

大多数自动化疾病监测系统会通知用户综合征类别报告患病率的增加,并允许用户查看与这些增加相关的患者层面数据。偶尔,需要更动态的控制水平才能在社区中正确检测出一种新兴疾病。在使用现有监测系统调查新出现疾病的暴发或在监测所捕获的数据中识别应报告疾病的病例时,动态查询功能非常宝贵。高级查询工具(AQT)的目标是为大多数基于网络的疾病监测系统构建一个更灵活的查询界面。该界面允许用户定义和构建查询,就好像他们在为数学计算编写逻辑表达式一样。AQT允许用户开发、研究、保存和共享复杂的病例定义。它提供了一个灵活的界面,既适合高级用户也适合新手用户,在构建表达式时检查其有效性,并为用户标记错误。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae73/3615752/e7afc6e8b66c/ojphi-02-2f1.jpg

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