| Pharmacogenomics, the interaction of genes and medications that effect medication-related phenotypes such as efficacy, toxicity, and sensitivity reactions, is playing an increasing role in medication decision making as we seek more personalized medical care. As key experts in supporting medication-decision making, pharmacists are well-positioned to support the incorporation of pharmacogenomics into clinical care. Pharmacists desire trustworthy information resources that efficiently impart clinically relevant pharmacogenomics information to help them make informed recommendations. Clinical interpretation of pharmacogenomics genotypes and phenotypes is difficult, and clinicians feel that current resources do not adequately support pharmacogenomics-related decision making. We aim to develop information resources that provide pharmacists with comprehensive, usable, and actionable pharmacogenomic information that that they trust.;We assert that our project is significant in three ways. First, we developed a detailed and clinically relevant pharmacogenomics semantic model to annotate FDA product labels. Second, we demonstrate the effectiveness of using qualitative methods to design clinically relevant pharmacogenomics information resources that are highly usable by clinicians. Third, we demonstrate that our information resource based on our semantic model allows pharmacists to use FDA-approved pharmacogenomics information more efficiently to answer questions faster, more correctly, and more easily in terms of usability than the FDA Table of Pharmacogenomics Biomarkers in Product Labeling and the FDA Drug Labeling section of PharmGKB.org. |
