title: Using real-time clinical decision support to improve performance on perioperative quality and process measures.
abstract: Anesthesia information management systems (AIMS) are becoming more commonplace in operating rooms across the world and have the potential to help clinicians measure and improve perioperative quality. However, to realize the full potential of AIMS, clinicians must first understand their capabilities and limitations. This article reviews the literature on AIMS, focusing on areas where AIMS have been shown to have a meaningful impact on quality, safety, and operational efficiency.
authors.affiliation: Department of Anesthesiology, Pharmacology and Therapeutics, University of British Columbia, 3200-910 West 10th Avenue, Vancouver, BC V5Z1M9, Canada.
authors.forename: Anthony
authors.initials: A
authors.lastname: Chau
authors.forename: Jesse M
authors.initials: JM
authors.lastname: Ehrenfeld
mesh_terms: D000758:Anesthesia / Q000592:standards*; D003362:Cost-Benefit Analysis; D003625:Data Collection; D020000:Decision Support Systems, Clinical / Q000592:standards*; D019983:Guideline Adherence; D006282:Health Personnel; D006801:Humans; D019451:Information Management; D010043:Outcome and Process Assessment, Health Care / Q000592:standards*; D019990:Perioperative Care / Q000592:standards*; D058996:Quality Improvement / Q000592:standards*; D011787:Quality of Health Care / Q000592:standards