Newsom Kimberly J, Hall Bradley, Martinez Katherine A, Nelson Scott, Starostik Petr, Nguyen Khoa
Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, FL, United States.
Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, FL, United States.
Front Pharmacol. 2024 Dec 20;15:1458095. doi: 10.3389/fphar.2024.1458095. eCollection 2024.
The Precision Medicine Program (PMP) at the University of Florida (UF) focuses on advancing pharmacogenomics (PGx) to improve patient care.
The UF PMP, in collaboration with the UF Health Pathology Laboratory (UFHPL), utilized Health Level Seven (HL7) standards to integrate 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 PGx 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.
佛罗里达大学（UF）的精准医学项目（PMP）专注于推进药物基因组学（PGx）以改善患者护理。
UF PMP与UF健康病理实验室（UFHPL）合作，利用健康级别7（HL7）标准将PGx数据整合到Epic的基因组模块中，以加强临床实践中PGx数据的管理和利用。
基因组模块的一个关键特性是引入了基因组指标——这是一种创新工具，可在电子健康记录（EHR）中直接标记可操作的遗传信息。这些指标能够有效呈现表型信息，并且与现有的临床决策支持（CDS）警报相结合时，有助于基于基因组数据提供及时且明智的治疗决策。
这一进展代表了遗传数据利用方面的重大转变，从传统的PDF报告转向对PGx数据的全面理解。最终，这种整合使医疗保健提供者能够获得基因组学指导的建议，提高患者护理的精准度和个性化程度，为个性化医疗的发展做出重大贡献。
