Automating concept identification in the electronic medical record: an experiment in extracting dosage information.

D. A. Evans, N. D. Brownlow, William (Bill) Hersh, E. M. Campbell

Research output: Contribution to journalArticle

37 Citations (Scopus)

Abstract

We discuss the development and evaluation of an automated procedure for extracting drug-dosage information from clinical narratives. The process was developed rapidly using existing technology and resources, including categories of terms from UMLS96. Evaluations over a large training and smaller test set of medical records demonstrate an approximately 80% rate of exact and partial matches' on target phrases, with few false positives and a modest rate of false negatives. The results suggest a strategy for automating general concept identification in electronic medical records.

Original languageEnglish (US)
Pages (from-to)388-392
Number of pages5
JournalProceedings : a conference of the American Medical Informatics Association / ... AMIA Annual Fall Symposium. AMIA Fall Symposium
StatePublished - 1996
Externally publishedYes

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Electronic Health Records
Medical Records
Technology
Pharmaceutical Preparations

Cite this

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