Displaying results 1 - 8 of 13
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Making the Best Use of Textual ED Data for Syndromic Surveillance
Content Type: Webinar
In this webinar Dr. Travers will review two tools developed at the University of North Carolina at Chapel Hill, which aid in processing textual CC’s and triage notes in support of syndromic surveillance. Textual data from emergency departments… read more -
COPD-Related ED Visits in North Carolina: Hospitalizations and Return Visits
Content Type: Abstract
COPD is a prevalent chronic disease among older adults; exacerbations often result in ED visits and subsequent hospital admissions. A portion of such patients return to the ED within a few days or weeks. In this study, we investigated patterns… read more -
Evaluation of Emergency Medical Text Processor for Pre-Processing Chief Complaint Data for Syndromic Surveillance
Content Type: Abstract
The goal of this project is to compare automated syn-dromic surveillance queries using raw chief complaints to those pre-processed with the Emergency Medical Text Processor (EMT-P) system. -
Evolution of a Syndromic Surveillance Case Definition
Content Type: Abstract
In North Carolina, select hospital emergency departments have been submitting data since 2003 for use in syndromic surveillance. These data are collected, stored, and parsed into syndrome categories by the North Carolina… read more -
Emergency Department Data Quality Best Practices
Content Type: Abstract
Data quality for syndromic surveillance extends beyond validating and evaluating syndrome results. Data aggregators and data providers can take additional steps to monitor and ensure the accuracy of the data. In North Carolina,… read more -
Chief Complaint Preprocessing Evaluated on Statistical and Non-Statistical Classifiers
Content Type: Abstract
To determine whether preprocessing chief complaints before automatically classifying them into syndromic categories improves classification performance. -
Defining and Applying a Method for Establishing Gold Standard Sets of Emergency Room Visit Data
Content Type: Abstract
The goal of this paper is to describe a methodology used to create a gold standard set of emergency department (ED) data that can subsequently be used to evaluate the sensitivity and specificity of syndrome definitions. -
Reverse Engineering of a Syndrome Definition for Influenza
Content Type: Abstract
We report here on the use of the North Carolina Bioterrorism and Emerging Infection Prevention System (NC BEIPS, www.ncbeips.org) to reverse engineer a syndrome definition of influenza for the purpose of influenza surveillance.