title: Integrating electronic health record genotype and phenotype datasets to transform patient care.
abstract: The Health Information Technology for Economic and Clinical Health (HITECH) Act of 2009 mandates the development and implementation of electronic health record (EHR) systems across the country. While a primary goal is to improve the care of individual patients, EHRs are also key enabling resources for a vision of individualized (or personalized or precision) medicine: the aggregation of multiple EHRs within or across healthcare systems should allow discovery of patient subsets that have unusual and definable clinical trajectories that deviate importantly from the expected response in a "typical" patient. The spectrum of such personalized care can then extend from prevention to choice of medication to intensity or nature of follow-up.
authors.affiliation: Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.|Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.|Department of Pharmacology, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
authors.forename: D M
authors.initials: DM
authors.lastname: Roden
authors.affiliation: Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.|Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
authors.forename: J C
authors.initials: JC
authors.lastname: Denny
mesh_terms: D016208:Databases, Factual; D003695:Delivery of Health Care / Q000379:methods*; D057286:Electronic Health Records; D005838:Genotype; D006801:Humans; D010641:Phenotype; D057285:Precision Medicine / Q000379:methods*