%0 Journal Article
%T Enhancing Clinical Decision Support through Integration of Pharmacogenetic Data in the Epic Genomic Module
%A Tariq Masood
%A Imran Saeed
%A Bilal Ahmad
%A Shahid Raza
%J Specialty Journal of Pharmacognosy, Phytochemistry, and Biotechnology
%@ 3062-441X
%D 2023
%V 3
%N 1
%R 10.51847/HRcFjaIX6z
%P 83-92
%X The University of Florida’s Precision Medicine Program (PMP) centers its efforts on progressing pharmacogenomics (PGx) to enhance patient outcomes. The UF PMP, working together with the UF Health Pathology Laboratory (UFHPL), leveraged HL7 standards to embed PGx data within Epic’s Genomic Module, thereby strengthening the clinical handling and application of pharmacogenomic information." A major advancement in the Genomic Module is its use of genomic indicators, which highlight clinically relevant genetic findings right inside the electronic health record (EHR). By showcasing key phenotype details and integrating with existing clinical decision support (CDS) alerts, these indicators help clinicians make faster and more informed treatment choices that are guided by a patient’s genetic profile. This improvement signals a major evolution in how genetic insights are applied in clinical settings, shifting from stand-alone PDF documents to a more dynamic and meaningful display of pharmacogenomic information. By weaving these data into everyday care processes, clinicians gain actionable, genome-informed guidance that supports tailored treatment choices and strengthens the overall practice of individualized medicine.
%U https://galaxypub.co/article/enhancing-clinical-decision-support-through-integration-of-pharmacogenetic-data-in-the-epic-genomic-ufe1r0rfsza3yuy