Thursday, March 31, 2016

CPIC Informatics Working Group publishes article in JAMIA

An article from the Clinical Pharmacogenetics Implementation Consortium (CPIC) Informatics Working Group has now been published ahead-of-print on the Journal of the American Medical Informatics Association (JAMIA) website. Within the paper, the authors discuss principles that will support the implementation of precision medicine, particularly pharmacogenomics, into routine clinical care.                                                                                

Hoffman et al. write that successful adoption of pharmacogenomics in the clinic requires a database of knowledge that can be used in an electronic health record (EHR) with Clinical Decision Support (CDS). To this end, the CPIC Informatics Working group has been developing and incorporating EHR vendor-agnostic resources into CPIC guidelines. Based on this experience, the working group outlines five principles that can apply to future knowledge resources that implement precision medicine. Though the principles are mainly in reference to pharmacogenomics, they are applicable any type of precision medicine initiative. The five principles cover the limitations of current genetic testing methods, the importance of levels of evidence, integration of different types of medical knowledge and handling of new knowledge, and the use of standardized terminology. By laying out these principles, the CPIC Informatics Working Group provides a reference for the design and implementation of future, national-level precision medicine resources.

CPIC is a shared project between PharmGKB and the Pharmacogenomics Research Network. Read more about CPIC and the Informatics Working Group at cpicpgx.org.

Read the paper on JAMIA:

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. Journal of the American Medical Informatics Association 2016; doi: 10.1093/jamia/ocw027.

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