| Literature DB >> 16779397 |
Nidhi R Shah1, Andrew C Seger, Diane L Seger, Julie M Fiskio, Gilad J Kuperman, Barry Blumenfeld, Elaine G Recklet, David W Bates, Tejal K Gandhi.
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.Entities:
Mesh：
Year: 2005 PMID： 16779397 PMCID： PMC1560718
Source DB: PubMed Journal: AMIA Annu Symp Proc ISSN： 1559-4076