Evidence map›Paper›PMID 27107452›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2016

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

Jessica D Tenenbaum, Paul Avillach, Marge Benham-Hutchins, Matthew K Breitenstein, Erin L Crowgey, Mark A Hoffman, Xia Jiang, Subha Madhavan, John E Mattison, Radhakrishnan Nagarajan and 5 more

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Meeting the challenge: Health information technology's essential role in achieving precision medicine.Journal of the American Medical Informatics Association : JAMIA · 2021
    Article
  8. Article
  9. Article
  10. Precision health: A nursing perspective.International journal of nursing sciences · 2020
    Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. A dashboard-based system for supporting diabetes care.Journal of the American Medical Informatics Association : JAMIA · 2018
    Article
  16. Desiderata for digital consent in genomic research.Journal of community genetics · 2018
    Article
  17. Article
  18. Article
  19. Evaluating Generalizability of a Biospecimen Informatics Approach: Support for Local Requirements and Best Practices.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2018
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Jessica D TenenbaumDepartment of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA jessie.tenenbaum@duke.edu.
Paul AvillachDepartment of Biomedical Informatics, Harvard Medical School & Children's Hospital Informatics Program, Boston Children's Hospital, Boston, MA, USA.
Marge Benham-HutchinsSchool of Nursing, University of Texas, Austin, TX, USA.
Matthew K BreitensteinDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
Erin L CrowgeyCenter for Bioinformatics & Computational Biology, University of Delaware, Newark, DE, USA.
Mark A HoffmanDepartment of Biomedical & Health Informatics, University of Missouri - Kansas City, Children's Mercy Hospital, Kansas City, MO, USA.
Xia JiangDepartment of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA.
Subha MadhavanDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Innovation Center for Biomedical Informatics, Washington, DC, USA.
John E MattisonExponential Medicine, Singularity University; Internal Medicine, System Solutions at Kaiser Permanente, Pasadena, CA, USA.
Radhakrishnan NagarajanDivision of Biomedical Informatics, University of Kentucky, Lexington, KY, USA.
Bisakha RayCenter for Health Informatics and Bioinformatics, New York University School of Medicine, New York, NY, USA.
Dmitriy ShinDepartment of Pathology, MU Informatics Institute, University of Missouri, Columbia, MO, USA.
Shyam VisweswaranDepartment of Biomedical Informatics and the Intelligent Systems Program, University of Pittsburgh, Pittsburgh, PA, USA.
Zhongming ZhaoCenter for Precision Health, School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, USA.
Robert R FreimuthDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.

Funding

Tissue Culture Shared ResourceP30CA051008 · NCI · GEORGETOWN UNIVERSITY · PI STEPHEN W BYERS · 1990 to 2026
$71.5M
Predictive Modeling & Optimal Control Framework for Model-Based Epidemic Response in DelawareP20GM103446 · NIGMS · UNIVERSITY OF DELAWARE · PI Anjana Narayan Bhat · 2012 to 2026
$67.2M
Duke CTSA (Composite)UL1TR001117 · NCATS · DUKE UNIVERSITY · PI BOULWARE, LEIGH E, LI, JENNIFER S · 2013 to 2017
$41.3M
Maternal Morbidity and Mortality: Risk Factors, Early Detection and Personalized InterventionUL1TR001409 · NCATS · GEORGETOWN UNIVERSITY · PI GONDRE-LEWIS, MARJORIE C, MELLMAN, THOMAS A · 2015 to 2024
$37.8M
Pharmacogenetics of Phase II Drug Metabolizing EnzymesU19GM061388 · NIGMS · MAYO CLINIC ROCHESTER · PI WANG, LIEWEI, WEINSHILBOUM, RICHARD M. · 2010 to 2014
$15.8M
Kentucky Center for Clinical and Translational ScienceUL1TR000117 · NCATS · UNIVERSITY OF KENTUCKY · PI KERN, PHILIP A · 2012 to 2015
$13.3M
Mayo Cancer Genetic Epidemiology Training ProgramR25CA092049 · NCI · MAYO CLINIC ROCHESTER · PI PETERSEN, GLORIA M., VACHON, CELINE M · 2001 to 2018
$5.3M
A New Generation Clinical Decision Support SystemR01LM011663 · NLM · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JIANG, XIA, NEAPOLITAN, RICHARD E · 2014 to 2017
$2.0M
Development and Evaluation of a Learning Electronic Medical Record SystemR01LM012095 · NLM · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI VISWESWARAN, SHYAM · 2015 to 2018
$1.8M
Mapping the Genetic Architecture of Complex Disease via RNA-seq and GWAS DataR01LM011177 · NLM · VANDERBILT UNIVERSITY · PI WANG, LILY, ZHAO, ZHONGMING · 2012 to 2014
$1.0M
Detecting Genome Wide Epistasis with Efficient Bayesian Network LearningR00LM010822 · NLM · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JIANG, XIA · 2012 to 2014
$565k
NCATS NIH HHS UL1 TR000117NCATS NIH HHS UL1 TR001117NCATS NIH HHS UL1 TR001409NCI NIH HHS P30 CA051008NCI NIH HHS R25 CA092049NIGMS NIH HHS P20 GM103446NIGMS NIH HHS U19 GM061388NLM NIH HHS R00 LM010822NLM NIH HHS R01 LM011177NLM NIH HHS R01 LM011663NLM NIH HHS R01 LM012095
6 · The paper itself

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.

Indexed as

Biomedical ResearchMedical InformaticsPrecision MedicineConfidentialityElectronic Health RecordsHumansInformation DisseminationInformed Consentbiomarkersdata sharinginformaticsprecision medicine

Identifiers

PMID27107452
PMCPMC4926738

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.