title: Extracting structured medication event information from discharge summaries.
abstract: 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.
authors.affiliation: Columbia University, Department of Biomedical Informatics, New York, NY, USA.
authors.forename: Sigfried
authors.initials: S
authors.lastname: Gold
authors.forename: Noémie
authors.initials: N
authors.lastname: Elhadad
authors.forename: Xinxin
authors.initials: X
authors.lastname: Zhu
authors.forename: James J
authors.initials: JJ
authors.lastname: Cimino
authors.forename: George
authors.initials: G
authors.lastname: Hripcsak
mesh_terms: 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*