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Displaying results 1 - 8 of 9
  • Triage Note in Emergency Department-Based Syndromic Surveillance

    Content Type: Abstract

    The North Carolina Bioterrorism and Emerging Infection Prevention System (NC BEIPS) receives daily emergency department (ED) data from 33 (29%) of the 114 EDs in North Carolina. These data are available via a Web-based portal and the Early… read more
    … syndrome categories based on clinical case definition. All visits were electronically processed for SS twice, once … [3] Wagner, MM, Espino J, Tsui FC, et al. Syndrome and outbreak detection using … in public health practice, New York City. Emerg Infect Dis. 2004 May;10(5):858-64. ACKNOWLEDGEMENTS Funding was …
  • In Search of a Controlled Vocabulary for Emergency Department Chief Complaint: A Comparison of Four Published Chief Complaint Lists

    Content Type: Abstract

    The lack of a standardized vocabulary for recording CC complicates the collection, aggregation, and analysis of CC for any purpose, but especially for real-time surveillance of patterns of illness and injury. The need for a controlled CC vocabulary… read more
    … We found four published CC lists and included them all [1-4]. We used the top 20 ‘Reasons for Visits’ (RFV) from the 2005 Emergency … terms with each of the CC lists were assessed. This study did not qualify for IRB approval or exemption. RESULTS 25% …
  • Defining emergency department asthma visits for public health surveillance

    Content Type: Abstract

    Tracking emergency department (ED) asthma visits is an important part of asthma surveillance, as ED visits can be preventable and may represent a failure of asthma control efforts. When using limited clinical ED datasets for secondary purposes such… read more
    … to both infection and asthma. Methods We utilized all ED visit data for 2008�2009 from the state public health … permitting all non-commercial use, distribution, and reproduction in … ehtj11115 ehtj11120 ehtj11024 ehtj11060 ehtj11110 26-50 ehtj11034 ehtj11198 ehtj11174 ehtj11048 ehtj11154 …
  • 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.
    … Through the use of this system, we are able to de- velop, evaluate and refine syndrome definitions in … attempt at influenza syndrome definition development did not combine evidence of fever with other common symptoms … in the identi- fication of many false positive records. Due to lack of recognition of negation terms (e.g. no …
  • 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.
    … recently imple- mented at NC BEIPS and is used to clean all ED CCs on a daily basis. METHODS This study analyzed a … NC BEIPS data warehouse. 500 visits were selected that did not meet any of the original automated syndrome queries, …
  • Improving Negation Processing in Triage Notes

    Content Type: Abstract

    Emergency Department (ED) triage notes are clinical notes that expand upon the chief complaint, and are included in the AHIC minimum dataset for biosurveillance.1  Clinical notes can improve the accuracy of keyword-based syndromes but require… read more
    … submitted tri- age notes, which comprised 30% of all visits for those dates. We then manually selected a … visits con- taining negated terms, from 18 of the 19 NC DE- TECT hospitals that provide triage notes (one ED had no … plan to evaluate additional modifications to the NegEx dic- tionary to fine-tune the synonyms and additional re- …
  • 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
    … Peds: 38C (100.4), high fever 39C (102.2) • Clinicians • “Did you measure it at home?” • “What route? How long did you … • 10 recommendations • Controlled vocabulary needed • All user communities’ needs should be addressed • Capture …
  • 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.
    … (85%) in preprocessing chief complaints. However, CCP did not exhibit an overall improvement in clas- sification …