Using chief complaints for syndromic surveillance: A review of chief complaint based classifiers in North America

Mike Conway, John N. Dowling, Wendy W. Chapman

Research output: Contribution to journalReview articlepeer-review

29 Scopus citations

Abstract

A major goal of Natural Language Processing in the public health informatics domain is the automatic extraction and encoding of data stored in free text patient records. This extracted data can then be utilized by computerized systems to perform syndromic surveillance. In particular, the chief complaint-a short string that describes a patient's symptoms-has come to be a vital resource for syndromic surveillance in the North American context due to its near ubiquity. This paper reviews fifteen systems in North America-at the city, county, state and federal level-that use chief complaints for syndromic surveillance.

Original languageEnglish
Pages (from-to)734-743
Number of pages10
JournalJournal of Biomedical Informatics
Volume46
Issue number4
DOIs
StatePublished - Aug 2013
Externally publishedYes

Keywords

  • Chief complaints
  • Medical language processing
  • Natural language processing
  • Syndromic surveillance

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