Feasibility of incorporating genomic knowledge into electronic medical records for pharmacogenomic clinical decision support.
In pursuing personalized medicine, pharmacogenomic (PGx) knowledge may help guide prescribing drugs based on a person's genotype. Here we evaluate the feasibility of incorporating PGx knowledge, combined with clinical data, to support clinical decision-making by: 1) analyzing clinically relevant knowledge contained in PGx knowledge resources; 2) evaluating the feasibility of a rule-based framework to support formal representation of clinically relevant knowledge contained in PGx knowledge resources; and, 3) evaluating the ability of an electronic medical record/electronic health record (EMR/EHR) to provide computable forms of clinical data needed for PGx clinical decision support. Findings suggest that the PharmGKB is a good source for PGx knowledge to supplement information contained in FDA approved drug labels. Furthermore, we found that with supporting knowledge (e.g. IF age <18 THEN patient is a child), sufficient clinical data exists in University of Washington's EMR systems to support 50% of PGx knowledge contained in drug labels that could be expressed as rules.
Department of Medical Education & Biomedical Informatics, University of Washington, Seattle, WA, USA. overbyc@uw.edu
Casey Lynnette
CL
Overby
Peter
P
Tarczy-Hornoch
James I
JI
Hoath
Ira J
IJ
Kalet
David L
DL
Veenstra
D016208:Databases, Factual; D020000:Decision Support Systems, Clinical; D057286:Electronic Health Records; D015894:Genome, Human; D006801:Humans; D010597:Pharmacogenetics / Q000379:methods*; D057285:Precision Medicine / Q000379:methods