Developing knowledge resources to support precision medicine: Principles from the Clinical Pharmacogenetics Implementation Consortium (CPIC)

James M. Hoffman, Henry M. Dunnenberger, J. Kevin Hicks, Kelly E. Caudle, Michelle Whirl Carrillo, Robert R. Freimuth, Marc S. Williams, Teri E. Klein, Josh F. Peterson

Research output: Contribution to journalArticlepeer-review

44 Scopus citations

Abstract

To move beyond a select few genes/drugs, the successful adoption of pharmacogenomics into routine clinical care requires a curated and machine- readable database of pharmacogenomic knowledge suitable for use in an electronic health record (EHR) with clinical decision support (CDS). Recognizing that EHR vendors do not yet provide a standard set of CDS functions for pharmacogenetics, the Clinical Pharmacogenetics Implementation Consortium (CPIC) Informatics Working Group is developing and systematically incorporating a set of EHR-agnostic implementation resources into all CPIC guidelines. These resources illustrate how to integrate pharmacogenomic test results in clinical information systems with CDS to facilitate the use of patient genomic data at the point of care. Based on our collective experience creating existing CPIC resources and implementing pharmacogenomics at our practice sites, we outline principles to define the key features of future knowledge bases and discuss the importance of these knowledge resources for pharmacogenomics and ultimately precision medicine.

Original languageEnglish (US)
Pages (from-to)796-801
Number of pages6
JournalJournal of the American Medical Informatics Association
Volume23
Issue number4
DOIs
StatePublished - 2016

Keywords

  • Clinical decision support systems
  • Electronic health records
  • Knowledge bases
  • Pharmacogenetics
  • Precision medicine

ASJC Scopus subject areas

  • Health Informatics

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