An EMR-Based Approach to Determine Frequency, Prescribing Pattern, and Characteristics of Patients Receiving Drugs with Pharmacogenomic Guidelines

Author:

MacKinnon George E.1,Mills Megan1,Stoddard Alexander2,Urrutia Raul A.3,Broeckel Ulrich145

Affiliation:

1. School of Pharmacy, Medical College of Wisconsin, Milwaukee, WI 53226, USA

2. Clinical & Translational Science Institute, Medical College of Wisconsin, Milwaukee, WI 53226, USA

3. Linda T. and John A. Mellowes Center for Genomic Sciences and Precision Medicine, Medical College of Wisconsin, Milwaukee, WI 53226, USA

4. Department of Pediatrics, Medical College of Wisconsin, Milwaukee, WI 53226, USA

5. RPRD Diagnostics LLC, Milwaukee, WI 53226, USA

Abstract

(1) Background: This retrospective analysis utilizing electronic medical record (EMR) data from a tertiary integrated health system sought to identify patients and prescribers who would benefit from pharmacogenomic (PGx) testing based on Clinical Pharmacogenetics Implementation Consortium (CPIC) guidelines. (2) Methods: EMR data from a clinical research data warehouse were analyzed from 845,518 patients that had an encounter between 2015 and 2019 at an academic medical center. Data were collected for 42 commercially available drugs with 52 evidence-based PGx guidelines from CPIC. Provider data were obtained through the EMR linked by specialty via national provider identification (NPI) number. (3) Results: A total of 845,518 patients had an encounter in the extraction period with 590,526 medication orders processed. A total of 335,849 (56.9%) patients had medication orders represented by CPIC drugs prescribed by 2803 providers, representing 239 distinct medications. (4) Conclusions: The results from this study show that over half of patients were prescribed a CPIC actionable medication from a variety of prescriber specialties. Understanding the magnitude of patients that may benefit from PGx testing, will enable the development of preemptive testing processes, physician support strategies, and pharmacist workflows to optimize outcomes should a PGx service be implemented.

Funder

National Center for Research Resources and the National Center for Advancing Translational Sciences

Publisher

MDPI AG

Subject

Microbiology (medical),Immunology,Immunology and Allergy

Reference24 articles.

1. Genomics and drug response;Wang;N. Engl. J. Med.,2011

2. Bertino, J.S., DeVane, C., Fuhr, U., Kashuba, A.D., and Ma, J.D. (2013). Pharmacogenomics: An Introduction and Clinical Perspective, McGraw-Hill.

3. Pharmacogenomics in the clinic;Relling;Nature,2015

4. Pharmacogenetic Testing May Improve Drug Treatments and Shorten Disability Leaves;Lefaivre;Benefits Q.,2017

5. Clinical Pharmacogenetics Implementation Consortium (CPIC) (2023, April 06). [Database]. Available online: https://www.cpicpgx.org.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3