文章基本信息

标题：Nontraumatic Oral Health Classification for Alternative Use of Syndromic Data
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作者：Sherry Burrer ; Howard Burkom ; Christopher Okunseri 等
期刊名称：Online Journal of Public Health Informatics
电子版ISSN：1947-2579
出版年度：2013
卷号：5
期号：1
语种：English
出版社：University of Illinois at Chicago
摘要：There is increasing demand for ways to use syndromic surveillance data for population health surveillance. The authors developed a nontraumatic oral health classification that could provide timely burden estimates of oral health-related visits to North Carolina (NC) emergency departments (EDs) using BioSense syndromic data. A combination of literature review, input by subject matter experts, and analysis of syndromic data was employed to create a classification that used select chief complaint text and ICD-9-CM codes for visit inclusion and exclusion criteria. Visit estimates created using this classification could contribute to policy decisions aimed at reducing this unnecessary burden on NC EDs.