Skip to main content

ORIGINAL RESEARCH article

Front. Pharmacol.
Sec. Pharmacogenetics and Pharmacogenomics
Volume 15 - 2024 | doi: 10.3389/fphar.2024.1458095
This article is part of the Research Topic Advances in Pharmacogenomics: Basic, Translational, and Clinical View all 11 articles

Integration of pharmacogenetic data in Epic Genomic Module drives best practice alerts

Provisionally accepted
Kimberly Newsom Kimberly Newsom 1*Bradley Hall Bradley Hall 1Katherine Martinez Katherine Martinez 1Scott Nelson Scott Nelson 2Petr Starostik Petr Starostik 1Khoa Nguyen Khoa Nguyen 1
  • 1 University of Florida, Gainesville, United States
  • 2 Shands Hospital, Health Science Center, University of Florida, Gainesville, Florida, United States

The final, formatted version of the article will be published soon.

    The Precision Medicine Program (PMP) at the University of Florida (UF) focuses on advancing pharmacogenomics to improve patient care. The UF PMP, in collaboration with the UF Health Pathology Laboratory, utilized Health Level Seven (HL7) standards to integrate pharmacogenetic (PGx) data into Epic’s Genomic Module to enhance the management and utilization of PGx data in clinical practice. A key feature of the Genomic Module is the introduction of genomic indicators—innovative tools that flag actionable genetic information directly within the electronic health record (EHR). These indicators enable the effective presentation of phenotypic information and when leveraged with existing clinical decision support (CDS) alerts, help provide timely and informed therapeutic decisions based on genomic data. This advancement represents a significant shift in the utilization of genetic data, moving beyond traditional PDF reports to provide a comprehensive understanding of pharmacogenomic data. Ultimately, this integration empowers healthcare providers with genomics-guided recommendations, enhancing precision and personalization in patient care, contributing significantly to the advancement of personalized medicine.

    Keywords: precision medicine, Pharmacogenetics, Electronic Health Records (EHR), Clinical Decision Support Systems, Genomics, health informatics, Health Level Seven (HL7)

    Received: 01 Jul 2024; Accepted: 13 Nov 2024.

    Copyright: © 2024 Newsom, Hall, Martinez, Nelson, Starostik and Nguyen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Kimberly Newsom, University of Florida, Gainesville, United States

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.