Automating concept identification in the electronic medical record: an experiment in extracting dosage information.
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.
Evans
D A
DA
CLARITECH Corporation, Pittsburgh, Pennsylvania 15213, USA.
Brownlow
N D
ND
Hersh
W R
WR
Campbell
E M
EM
D002965:Classification; D006801:Humans; D016347:Medical Records Systems, Computerized; D009323:Natural Language Processing; D010351:Patient Discharge; D004364:Pharmaceutical Preparations / Q000008:administration & dosage*; D018875:Vocabulary, Controlled
D004364:Pharmaceutical Preparations