Whole record surveillance is superior to chief complaint surveillance for predicting influenza.

Gail Welsh, Dietlind Wahner-Roedler, David Arthur Froehling, Brett Trusko, Peter Elkin

Research output: Contribution to journalArticle

Abstract

Matched records of positive and negative influenza cases were parsed with a Natural Language Processor, the Multi-threaded Clinical Vocabulary Server (MCVS). Output was coded into SNOMED-CT reference terminology and compared to the SNOMED case definition of influenza. Odds ratios for each element of the influenza case definition by each section of the record were used to generate ROC curves. C-statistics showed that whole record surveillance was superior to chief complaint surveillance for predicting influenza.

Original languageEnglish (US)
Pages (from-to)1173
Number of pages1
JournalAMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
StatePublished - 2008
Externally publishedYes

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ASJC Scopus subject areas

  • Medicine(all)

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