Document Type
Article
Language
eng
Format of Original
1 p.
Publication Date
4-4-2013
Publisher
University of Illinois at Chicago Library
Source Publication
Online Journal of Public Health Informatics
Source ISSN
1947-2579
Original Item ID
doi: 10.5210/ojphi.v5i1.4452
Abstract
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.
Recommended Citation
Burrer, Sherry; Burkom, Howard; Okunseri, Christopher; Barker, Laurie; and Robison, Valerie, "Nontraumatic Oral Health Classification for Alternative Use of Syndromic Data" (2013). School of Dentistry Faculty Research and Publications. 75.
https://epublications.marquette.edu/dentistry_fac/75
Comments
Published version. Online Journal of Public Health Informatics, Vol. 5, No. 1 (April 4, 2013): 58. DOI.
This is an Open Access article distributed under the terms of the Creative Commons Attribution- Noncommercial 3.0 Unported License, permitting all non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.