title: Improving override rates for computerized prescribing alerts in ambulatory care.
abstract: Computerized drug prescribing alerts can improve patient safety, but are often overridden because of poor specificity and alert overload. We developed a selective knowledge base of only clinically significant drug alerts and designated only critical-high severity alerts to be interruptive to clinician workflow (a tiered approach). Using this approach, we were able to achieve a 67% clinician accept rate for ambulatory computerized prescribing alerts.
authors.affiliation: Brigham and Women's Hospital, Boston, MA, USA.
authors.forename: Nidhi R
authors.initials: NR
authors.lastname: Shah
authors.forename: Andrew C
authors.initials: AC
authors.lastname: Seger
authors.forename: Diane L
authors.initials: DL
authors.lastname: Seger
authors.forename: Julie M
authors.initials: JM
authors.lastname: Fiskio
authors.forename: Gilad J
authors.initials: GJ
authors.lastname: Kuperman
authors.forename: Barry
authors.initials: B
authors.lastname: Blumenfeld
authors.forename: Elaine G
authors.initials: EG
authors.lastname: Recklet
authors.forename: David W
authors.initials: DW
authors.lastname: Bates
authors.forename: Tejal K
authors.initials: TK
authors.lastname: Gandhi
mesh_terms: D000555:Ambulatory Care Information Systems; D001292:Attitude to Computers; D011307:Drug Prescriptions; D004360:Drug Therapy, Computer-Assisted; D006801:Humans; D051188:Knowledge Bases; D050316:Medical Order Entry Systems; D016347:Medical Records Systems, Computerized; D008508:Medication Errors / Q000517:prevention & control; D017010:Reminder Systems