title: Tracking medication information across medical records.
abstract: A patient's electronic medical record can consist of a large number of reports, especially for an elderly patient or for one affected by a chronic disease. It can thus be cumbersome for a physician to go through all of the reports to understand the patient's complete medical history. This paper describes work in progress towards tracking medications and their dosages through the course of a patient's medical history. 923 reports associated with 11 patients were obtained from a university hospital. Drug names were identified using a dictionary look-up approach. Dosages corresponding to these drugs were determined using regular expressions. The state of a drug (ON, OFF), which determines whether or not the drug was being taken, was identified using a support vector machine with features based on expert knowledge. Results were promising: prec. approximately recall approximately 87%. The output is a timeline display of the drugs which the patient has been taking.
authors.affiliation: University of California Los Angeles, Los Angeles, CA, USA.
authors.forename: Juan Eugenio
authors.initials: JE
authors.lastname: Iglesias
authors.forename: Krupa
authors.initials: K
authors.lastname: Rocks
authors.forename: Neda
authors.initials: N
authors.lastname: Jahanshad
authors.forename: Enrique
authors.initials: E
authors.lastname: Frias-Martinez
authors.forename: Lewellyn P
authors.initials: LP
authors.lastname: Andrada
authors.forename: Alex A T
authors.initials: AA
authors.lastname: Bui
mesh_terms: D057286:Electronic Health Records; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods*; D055553:Prescription Drugs / Q000008:administration & dosage; D012372:ROC Curve
chemical_list: D055553:Prescription Drugs