title: e-Measures: insight into the challenges and opportunities of automating publicly reported quality measures.
abstract: Using electronic health records (EHR) to automate publicly reported quality measures is receiving increasing attention and is one of the promises of EHR implementation. Kaiser Permanente has fully or partly automated six of 13 the joint commission measure sets. We describe our experience with automation and the resulting time savings: a reduction by approximately 50% of abstractor time required for one measure set alone (surgical care improvement project). However, our experience illustrates the gap between the current and desired states of automated public quality reporting, which has important implications for measure developers, accrediting entities, EHR vendors, public/private payers, and government.
authors.affiliation: Health Information Technology Transformation and Analytics, Kaiser Permanente, Oakland, California, USA.
authors.forename: Terhilda
authors.initials: T
authors.lastname: Garrido
authors.forename: Sudheen
authors.initials: S
authors.lastname: Kumar
authors.forename: John
authors.initials: J
authors.lastname: Lekas
authors.forename: Mark
authors.initials: M
authors.lastname: Lindberg
authors.forename: Dhanyaja
authors.initials: D
authors.lastname: Kadiyala
authors.forename: Alan
authors.initials: A
authors.lastname: Whippy
authors.forename: Barbara
authors.initials: B
authors.lastname: Crawford
authors.forename: Jed
authors.initials: J
authors.lastname: Weissberg
mesh_terms: D001330:Electronic Data Processing; D057286:Electronic Health Records; D006279:Health Maintenance Organizations; D006801:Humans; D019982:Organizational Case Studies; D011785:Quality Assurance, Health Care / Q000379:methods*; D014481:United States
keywords: Automatic Data Processing; Electronic Health Records; Quality Assurance/Health Care