title: Improving a UMLS based allergy list for use in live electronic medical record systems.
abstract: The SNOMED allergy subset available through the UMLS has a variety of deficits that are substantial barriers to use in live clinical practice. These authors describe a method of enhancing a UMLS based allergy list by combining concepts from other terminologies found within the UMLS. This method resulted in a three-fold increase in the coverage allergy list compared to the standard SNOMED allergy subset.
authors.affiliation: National Institute for Medical Informatics (NIMI), Washington, DC, USA.
authors.forename: Jonathan
authors.initials: J
authors.lastname: Handler
authors.forename: Craig
authors.initials: C
authors.lastname: Feied
authors.forename: Mark
authors.initials: M
authors.lastname: Smith
authors.forename: Michael
authors.initials: M
authors.lastname: Gillam
mesh_terms: D000465:Algorithms; D006801:Humans; D006967:Hypersensitivity / Q000145:classification*; D016347:Medical Records Systems, Computerized; D039061:Systematized Nomenclature of Medicine; D017432:Unified Medical Language System; D018875:Vocabulary, Controlled