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J Am Med Inform Assoc. 2016 Jul;23(4):791-5. doi: 10.1093/jamia/ocv213. Epub 2016 Apr 23.

An informatics research agenda to support precision medicine: seven key areas.

Author information

1
Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA jessie.tenenbaum@duke.edu.
2
Department of Biomedical Informatics, Harvard Medical School & Children's Hospital Informatics Program, Boston Children's Hospital, Boston, MA, USA.
3
School of Nursing, University of Texas, Austin, TX, USA.
4
Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
5
Center for Bioinformatics & Computational Biology, University of Delaware, Newark, DE, USA.
6
Department of Biomedical & Health Informatics, University of Missouri - Kansas City, Children's Mercy Hospital, Kansas City, MO, USA.
7
Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA.
8
Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Innovation Center for Biomedical Informatics, Washington, DC, USA.
9
Exponential Medicine, Singularity University; Internal Medicine, System Solutions at Kaiser Permanente, Pasadena, CA, USA.
10
Division of Biomedical Informatics, University of Kentucky, Lexington, KY, USA.
11
Center for Health Informatics and Bioinformatics, New York University School of Medicine, New York, NY, USA.
12
Department of Pathology, MU Informatics Institute, University of Missouri, Columbia, MO, USA.
13
Department of Biomedical Informatics and the Intelligent Systems Program, University of Pittsburgh, Pittsburgh, PA, USA.
14
Center for Precision Health, School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, USA.

Abstract

The recent announcement of the Precision Medicine Initiative by President Obama has brought precision medicine (PM) to the forefront for healthcare providers, researchers, regulators, innovators, and funders alike. As technologies continue to evolve and datasets grow in magnitude, a strong computational infrastructure will be essential to realize PM's vision of improved healthcare derived from personal data. In addition, informatics research and innovation affords a tremendous opportunity to drive the science underlying PM. The informatics community must lead the development of technologies and methodologies that will increase the discovery and application of biomedical knowledge through close collaboration between researchers, clinicians, and patients. This perspective highlights seven key areas that are in need of further informatics research and innovation to support the realization of PM.

KEYWORDS:

biomarkers; data sharing; informatics; precision medicine

PMID:
27107452
PMCID:
PMC4926738
DOI:
10.1093/jamia/ocv213
[Indexed for MEDLINE]
Free PMC Article

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