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

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

Research output: Contribution to journalReview articlepeer-review

48 Scopus citations


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
Issue number1-2
StatePublished - 2003

ASJC Scopus subject areas

  • Computer Science Applications
  • Health Informatics

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