title: Harnessing next-generation informatics for personalizing medicine: a report from AMIA's 2014 Health Policy Invitational Meeting.
abstract: The American Medical Informatics Association convened the 2014 Health Policy Invitational Meeting to develop recommendations for updates to current policies and to establish an informatics research agenda for personalizing medicine. In particular, the meeting focused on discussing informatics challenges related to personalizing care through the integration of genomic or other high-volume biomolecular data with data from clinical systems to make health care more efficient and effective. This report summarizes the findings (n = 6) and recommendations (n = 15) from the policy meeting, which were clustered into 3 broad areas: (1) policies governing data access for research and personalization of care; (2) policy and research needs for evolving data interpretation and knowledge representation; and (3) policy and research needs to ensure data integrity and preservation. The meeting outcome underscored the need to address a number of important policy and technical considerations in order to realize the potential of personalized or precision medicine in actual clinical contexts.
authors.affiliation: Department of Biomedical Informatics, Vanderbilt University, Nashville, Tennessee, USA.
authors.forename: Laura K
authors.initials: LK
authors.lastname: Wiley
authors.affiliation: Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, Washington, USA.
authors.forename: Peter
authors.initials: P
authors.lastname: Tarczy-Hornoch
authors.affiliation: Department of Biomedical Informatics, Vanderbilt University, Nashville, Tennessee, USA.
authors.forename: Joshua C
authors.initials: JC
authors.lastname: Denny
authors.affiliation: Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA.
authors.forename: Robert R
authors.initials: RR
authors.lastname: Freimuth
authors.affiliation: Program for Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA.
authors.forename: Casey L
authors.initials: CL
authors.lastname: Overby
authors.affiliation: Center for Biomedical Informatics Research, Stanford University, Stanford, California, USA.
authors.forename: Nigam
authors.initials: N
authors.lastname: Shah
authors.affiliation: Chesapeake Regional Information System for our Patients (CRISP), Columbia, Maryland, USA ross.martin@crisphealth.org.
authors.forename: Ross D
authors.initials: RD
authors.lastname: Martin
authors.affiliation: Center for Biomedical Informatics, Brown University, Providence, Rhode Island, USA.
authors.forename: Indra Neil
authors.initials: IN
authors.lastname: Sarkar
mesh_terms: D006291:Health Policy; D006801:Humans; D008490:Medical Informatics; D057285:Precision Medicine; D012955:Societies, Medical; D014481:United States
keywords: health policy; learning health care system; medical informatics; precision medicine; translational bioinformatics