@article{9372ada945f64a8ebad1642407508908,
title = "Implementing genomic clinical decision support for drug-based precision medicine",
abstract = "The explosive growth of patient-specific genomic information relevant to drug therapy will continue to be a defining characteristic of biomedical research. To implement drug-based personalized medicine (PM) for patients, clinicians need actionable information incorporated into electronic health records (EHRs). New clinical decision support (CDS) methods and informatics infrastructure are required in order to comprehensively integrate, interpret, deliver, and apply the full range of genomic data for each patient.",
author = "Freimuth, {R. R.} and Formea, {C. M.} and Hoffman, {J. M.} and E. Matey and Peterson, {J. F.} and Boyce, {R. D.}",
note = "Funding Information: R.F. is supported by the Mayo Clinic Center for Individualized Medicine and National Human Genome Research Institute grant U01HG006379. R.B. is supported by National Library of Medicine grant R01LM011838. J.H. is supported by National Institutes of Health grant R24GM115264, awarded to CPIC, and by ALSAC. Publisher Copyright: {\textcopyright} 2017 The Authors CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals, Inc. on behalf of American Society for Clinical Pharmacology and Therapeutics.",
year = "2017",
month = mar,
day = "1",
doi = "10.1002/psp4.12173",
language = "English (US)",
volume = "6",
pages = "153--155",
journal = "CPT: Pharmacometrics and Systems Pharmacology",
issn = "2163-8306",
publisher = "Nature Publishing Group",
number = "3",
}