Mining complex clinical data for patient safety research: A framework for event discovery

George Hripcsak, Suzanne Bakken, Peter D. Stetson, Vimla Patel

Research output: Contribution to journalReview article

44 Citations (Scopus)

Abstract

Successfully addressing patient safety requires detecting medical events effectively. Given the volume of patients seen at medical centers, detecting events automatically from data that are already available electronically would greatly facilitate patient safety work. We have created a framework for electronic detection. Key steps include: selecting target events, assessing what information is available electronically, transforming raw data such as narrative notes into a coded format, querying the transformed data, verifying the accuracy of event detection, characterizing the events using systems and cognitive approaches, and using what is learned to improve detection.

Original languageEnglish (US)
Pages (from-to)120-130
Number of pages11
JournalJournal of Biomedical Informatics
Volume36
Issue number1-2
DOIs
StatePublished - Jan 1 2003
Externally publishedYes

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Patient Safety
Research

ASJC Scopus subject areas

  • Computer Science Applications
  • Health Informatics

Cite this

Mining complex clinical data for patient safety research : A framework for event discovery. / Hripcsak, George; Bakken, Suzanne; Stetson, Peter D.; Patel, Vimla.

In: Journal of Biomedical Informatics, Vol. 36, No. 1-2, 01.01.2003, p. 120-130.

Research output: Contribution to journalReview article

Hripcsak, George ; Bakken, Suzanne ; Stetson, Peter D. ; Patel, Vimla. / Mining complex clinical data for patient safety research : A framework for event discovery. In: Journal of Biomedical Informatics. 2003 ; Vol. 36, No. 1-2. pp. 120-130.
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