Abstract
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. © 2010 Overby et al; licensee BioMed Central Ltd.
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CITATION STYLE
Overby, C. L., Tarczy-Hornoch, P., Hoath, J. I., Kalet, I. J., & Veenstra, D. L. (2010). Feasibility of incorporating genomic knowledge into electronic medical records for pharmacogenomic clinical decision support. BMC Bioinformatics, 11(SUPPL. 9). https://doi.org/10.1186/1471-2105-11-S9-S10
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