Developing syndrome definitions based on consensus and current use
Developing syndrome definitions based on consensus and current use
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DOI：
10.1136/jamia.2010.003210
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发表时间：
2010-09-01
影响因子：
6.4
通讯作者：
Lober, Bill
中科院分区：
文献类型：
--
作者：
Chapman, Wendy W.;Dowling, John N.;Lober, Bill
目前尚不存在标准化的监测综合征，但这将有助于监测系统之间共享数据，并比较现有系统的准确性。本研究的目的是从目前已经或正在建立综合征监测系统的研究者的共识中创建参考综合征定义。设计美国10个监测系统的临床条件综合征对被编目，这些系统的代表被召集到一起参加研讨会，讨论共识综合征定义。结果为四个监测系统生成共识综合征定义。10个参与监测系统中的大多数监测的综合征：呼吸系统、胃肠道、体质和流感样疾病（ILI）。迅速达成共识的一个重要因素是为呼吸道和胃肠道综合征制定一个敏感和具体的定义。研讨会结束后，定义进行了细化，并补充了关键字和正则表达式，关键字映射到标准词汇表，并创建了网络本体语言（OWL）本体。限制共识定义尚未通过实施进行验证。结论共识定义提供了一个明确的描述，目前国家的最先进的综合征用于自动化监测，其随后可以相对于真实的数据被系统地评估以改进定义。创建共识定义的方法可以应用于具有不同现有定义的其他领域。
Objective Standardized surveillance syndromes do not exist but would facilitate sharing data among surveillance systems and comparing the accuracy of existing systems. The objective of this study was to create reference syndrome definitions from a consensus of investigators who currently have or are building syndromic surveillance systems.Design Clinical condition syndrome pairs were catalogued for 10 surveillance systems across the United States and the representatives of these systems were brought together for a workshop to discuss consensus syndrome definitions.Results Consensus syndrome definitions were generated for the four syndromes monitored by the majority of the 10 participating surveillance systems: Respiratory, gastrointestinal, constitutional, and influenza-like illness (ILI). An important element in coming to consensus quickly was the development of a sensitive and specific definition for respiratory and gastrointestinal syndromes. After the workshop, the definitions were refined and supplemented with keywords and regular expressions, the keywords were mapped to standard vocabularies, and a web ontology language (OWL) ontology was created.Limitations The consensus definitions have not yet been validated through implementation.Conclusion The consensus definitions provide an explicit description of the current state-of-the-art syndromes used in automated surveillance, which can subsequently be systematically evaluated against real data to improve the definitions. The method for creating consensus definitions could be applied to other domains that have diverse existing definitions.