| Literature DB >> 26262248 |
Pedro J Caraballo1, Mark Parkulo1, David Blair1, Michelle Elliott1, Cloann Schultz1, Joseph Sutton1, Padma Rao1, Jamie Bruflat1, Robert Bleimeyer1, John Crooks1, Donald Gabrielson1, Wayne Nicholson1, Carolyn Rohrer Vitek1, Kelly Wix1, Suzette J Bielinski1, Jyotishman Pathak1, Iftikhar Kullo1.
Abstract
The level of CYP2D6 metabolic activity can be predicted by pharmacogenomic testing, and concomitant use of clinical decision support has the potential to prevent adverse effects from those drugs metabolized by this enzyme. Our initial findings after implementation of clinical decision support alerts integrated in the electronic health records suggest high feasibility, but also identify important challenges.Entities:
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Year: 2015 PMID: 26262248
Source DB: PubMed Journal: Stud Health Technol Inform ISSN: 0926-9630