title: Creating a note classification scheme for a multi-institutional electronic medical record.
abstract: How notes are categorized in an electronic medical record (EMR) influences how rapidly users can locate documents and enter new ones, whether algorithmic search for chart deficiencies is possible, and the ease of incorporating collections of existing notes. We balanced these competing needs when developing a note classification scheme for the Online Record of Clinical Activity (ORCA) electronic medical record at the University of Washington.
authors.affiliation: UW Medicine, University of Washington, Seattle, USA. tpayne@u.washington.edu
authors.forename: Thomas H
authors.initials: TH
authors.lastname: Payne
authors.forename: Barak
authors.initials: B
authors.lastname: Gaster
authors.forename: Durline
authors.initials: D
authors.lastname: Mineer
authors.forename: Jim
authors.initials: J
authors.lastname: Mazurk
authors.forename: Nancy
authors.initials: N
authors.lastname: Dunnington
authors.forename: Jacquie
authors.initials: J
authors.lastname: Zehner
authors.forename: Bill
authors.initials: B
authors.lastname: Lober
authors.forename: Erik
authors.initials: E
authors.lastname: Van Eaton
authors.forename: Wayne
authors.initials: W
authors.lastname: McCormick
mesh_terms: D000046:Academic Medical Centers; D005568:Forms and Records Control; D006751:Hospital Information Systems; D006801:Humans; D008498:Medical Record Linkage; D016347:Medical Records Systems, Computerized / Q000145:classification*; D012984:Software; D014861:Washington