title: Looking for a needle in the haystack? A case for detecting adverse drug events (ADE) in clinical notes.
abstract: Detection and prevention of adverse drug events (ADEs) forms a large part of the patient safety efforts in any healthcare organization. Detection of laboratory and medication based ADEs is well-studied through the use of rule-based systems, however identifying descriptive ADEs, such as somnolence, is a challenging problem. Signals for the detection of these ADEs can often only be found in free-text clinical notes. We describe the automated detection of descriptive ADEs in free-text clinician notes.
authors.affiliation: Department of Biomedical Informatics, Shcool of Medicine, Salt Lake City, UT, USA.
authors.forename: Shobha
authors.initials: S
authors.lastname: Phansalkar
authors.forename: Brett R
authors.initials: BR
authors.lastname: South
authors.forename: Jennifer M
authors.initials: JM
authors.lastname: Hoffman
authors.forename: John F
authors.initials: JF
authors.lastname: Hurdle
mesh_terms: D016907:Adverse Drug Reaction Reporting Systems; D064420:Drug-Related Side Effects and Adverse Reactions; D006801:Humans; D008485:Medical Audit; D008499:Medical Records; D017432:Unified Medical Language System