The Impact of Documentation Style on Influenza-Like Illness Rates in the Emergency Department
Dino P. Rumoroa b, Shital Shaha b, Gillian S. Gibbsa b✉, Marilyn M. Hallocka b, Gordon M. Trenholmea b, Michael Waddellc d, Joseph P. Bernsteine f
- aRush University , Chicago , IL , USA
- bRush University, Chicago, IL, USA
- cPangaea Information Technologies, Ltd , Chicago , IL , USA
- dPangaea Information Technologies, Ltd, Chicago, IL, USA
- eH-CORE, LLC , Chicago , IL , USA
- fH-CORE, LLC, Chicago, IL, USA
- ✉Corresponding author
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Abstract
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.