Integration of pharmacogenetic data in epic genomic module drives clinical decision support alerts.

IF 4.8 2区医学 Q1 PHARMACOLOGY & PHARMACY Frontiers in Pharmacology Pub Date : 2024-12-20 eCollection Date: 2024-01-01 DOI:10.3389/fphar.2024.1458095

Kimberly J Newsom, Bradley Hall, Katherine A Martinez, Scott Nelson, Petr Starostik, Khoa Nguyen

{"title":"Integration of pharmacogenetic data in epic genomic module drives clinical decision support alerts.","authors":"Kimberly J Newsom, Bradley Hall, Katherine A Martinez, Scott Nelson, Petr Starostik, Khoa Nguyen","doi":"10.3389/fphar.2024.1458095","DOIUrl":null,"url":null,"abstract":"Introduction: The Precision Medicine Program (PMP) at the University of Florida (UF) focuses on advancing pharmacogenomics (PGx) to improve patient care.Methods: 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.Results: 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.Discussion: 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.","PeriodicalId":12491,"journal":{"name":"Frontiers in Pharmacology","volume":"15 ","pages":"1458095"},"PeriodicalIF":4.8000,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11695119/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Pharmacology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3389/fphar.2024.1458095","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}

引用次数: 0

Abstract

Introduction: The Precision Medicine Program (PMP) at the University of Florida (UF) focuses on advancing pharmacogenomics (PGx) to improve patient care.

Methods: 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.

Results: 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.

Discussion: 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.

Abstract Image

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

整合的药物遗传数据在史诗基因组模块驱动临床决策支持警报。

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。方法：UF PMP与UF健康病理学实验室（UFHPL）合作，利用Health Level 7 （HL7）标准将PGx数据整合到Epic的Genomic Module中，以加强PGx数据在临床实践中的管理和利用。结果：基因组模块的一个关键特征是引入了基因组指标——在电子健康记录（EHR）中直接标记可操作遗传信息的创新工具。这些指标能够有效地呈现表型信息，并且当与现有的临床决策支持（CDS）警报相结合时，有助于根据基因组数据提供及时和明智的治疗决策。讨论：这一进步代表了遗传数据利用的重大转变，超越了传统的PDF报告，提供了对PGx数据的全面理解。最终，这种集成使医疗保健提供者能够获得基因组学指导的建议，提高患者护理的准确性和个性化，为个性化医疗的进步做出重大贡献。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

Frontiers in Pharmacology PHARMACOLOGY & PHARMACY-

CiteScore

7.80

自引率

8.90%

发文量

5163

审稿时长

14 weeks

期刊介绍： Frontiers in Pharmacology is a leading journal in its field, publishing rigorously peer-reviewed research across disciplines, including basic and clinical pharmacology, medicinal chemistry, pharmacy and toxicology. Field Chief Editor Heike Wulff at UC Davis is supported by an outstanding Editorial Board of international researchers. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide.