This paper is in the following e-collection/theme issue:

Presentations, Abstracts, or Demonstrations (740) Influenza and Influenza-Like-Illness (ILI) Surveillance (203)

Published on in Vol 8, No 1 (2016):

The Impact of Documentation Style on Influenza-Like Illness Rates in the Emergency Department

The Impact of Documentation Style on Influenza-Like Illness Rates in the Emergency Department

The Impact of Documentation Style on Influenza-Like Illness Rates in the Emergency Department

Authors of this article:

Dino P. Rumoro ;   Shital C. Shah ;   Gillian S. Gibbs ;   Marilyn M. Hallock ;   Gordon M. Trenholme ;   Michael J. Waddell ;   Joseph P. Bernstein
The full text of this article is available as a PDF download by clicking here.
Article Authors Cited by Tweetations Metrics

    Emergency department (ED) data are key components for syndromic surveillance systems. However, the lack of standardization for the content in chief complaint (CC) free-text fields may make it challenging to use these elements in syndromic surveillance systems. Furthermore, little is known regarding how ED data sources should be structured or combined to increase sensitivity without elevating false positives. In this study, we constructed two different models of ED data sources and evaluated the resulting ILI rates obtained in two different institutions.