Displaying results 1 - 6 of 6
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Poison Control Center Data in the NC DETECT Syndromic Surveillance System.
Content Type: Abstract
CPC provides the 24/7/365 poison hotline for the entire state of North Carolina and currently handles approximately 80,000 calls per year. CPC consultation services that assist callers with poison exposure, diagnosis, optimal patient management,… read more -
Using Syndromic Surveillance Data to Monitor Endocarditis and Sepsis among Drug Users
Content Type: Abstract
Recreational drug use is a major problem in the United States and around the world. Specifically, drug abuse results in heavy use of emergency department (ED) services, and is a high financial burden to society and to the hospitals due to chronic… read more -
Triage Notes in Syndromic Surveillance – A Double Edged Sword
Content Type: Abstract
The advent of Meaningful Use (MU) has allowed for the expansion of data collected at the hospital level and received by public health for syndromic surveillance. The triage note, a free text expansion on the chief complaint, is one of the many… read more -
Assessing the Potential Impact of the BioSense 24-hour Rule Using NC DETECT ED Data
Content Type: Abstract
Per a frequently asked questions document on the ISDS website, approximately two thirds of HL7 records received in BioSense do not provide a Visit ID. As a result, BioSense data processing rules use the patient ID, facility ID and earliest date in… read more -
Using NC DETECT for Comprehensive Morbidity Surveillance on Poisoning and Overdose
Content Type: Abstract
A retrospective analysis of emergency department data in NC for drug and opioid overdoses has been explained previously [1]. We built on this initial work to develop new poisoning and surveillance reports to facilitate near real time surveillance by… read more -
Identifying Emerging Novel Outbreaks In Textual Emergency Department Data
Content Type: Abstract
Typical approaches to monitoring ED data classify cases into pre-defined syndromes and then monitor syndrome counts for anomalies. However, syndromes cannot be created to identify every possible cluster of cases of relevance to public health. To… read more