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

James M. Hoffman | Zendy; Henry M. Dunnenberger | Zendy; J. Kevin Hicks | Zendy; Kelly E. Caudle | Zendy; Michelle WhirlCarrillo | Zendy; Robert R. Freimuth | Zendy; Marc S. Williams | Zendy; Teri E. Klein | Zendy; Josh F. Peterson | Zendy

Open Access

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

Author(s) -

James M. Hoffman,

Henry M. Dunnenberger,

J. Kevin Hicks,

Kelly E. Caudle,

Michelle WhirlCarrillo,

Robert R. Freimuth,

Marc S. Williams,

Teri E. Klein,

Josh F. Peterson

Publication year - 2016

Publication title -

journal of the american medical informatics association

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.614

H-Index - 150

eISSN - 1527-974X

pISSN - 1067-5027

DOI - 10.1093/jamia/ocw027

Subject(s) - pharmacogenomics , precision medicine , computer science , clinical decision support system , informatics , health informatics , pharmacogenetics , set (abstract data type) , personalized medicine , data science , decision support system , medicine , data mining , bioinformatics , engineering , biochemistry , chemistry , nursing , pathology , biology , genotype , gene , electrical engineering , pharmacology , programming language , public health

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.

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