Extracting structured medication event information from discharge summaries.
We present a method that extracts medication information from discharge summaries. The program relies on parsing rules written as a set of regular expressions and on a user-configurable drug lexicon. Our evaluation shows a precision of 94% and recall of 83% in the extraction of medication information. We use a broader definition of medication information than previous studies, including drug names appearing with and without dosage information, misspelled drug names, and contextual information.
Gold
Sigfried
S
Columbia University, Department of Biomedical Informatics, New York, NY, USA.
Elhadad
Noémie
N
Zhu
Xinxin
X
Cimino
James J
JJ
Hripcsak
George
G
D001185:Artificial Intelligence; D016247:Information Storage and Retrieval / Q000379:methods*; D008498:Medical Record Linkage / Q000379:methods*; D016347:Medical Records Systems, Computerized / Q000458:organization & administration*; D009323:Natural Language Processing; D009518:New York; D010351:Patient Discharge; D010363:Pattern Recognition, Automated / Q000379:methods*