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Using Big Data

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Translational Informatics

Part of the book series: Health Informatics ((HI))

Abstract

‘Big Data’ is a comprehensive term, including both large amounts of molecular measurements on a person (e.g., next-generation sequencing) as well as small amounts of routine measurements on a large number of people (e.g., clinical notes, lab measurements, insurance claims and adverse event reports). Big Data are increasingly used—both for advancing medical science as well as improving the delivery of healthcare. The primary stake-holders in the decision of, and the impact of, using Big Data analyses are the patients, the researchers, the health-care providers, the payers, and the regulators. In devising a strategy to use Big Data in healthcare it is essential to think about the dimensions along which the data are big. Approaches that go across data-sources and that attempt predictive data-mining are fruitful directions to pursue. Finally, it is important to remember that just because vast amounts of data are available we are not guaranteed to find better insights. The results based on Big Data will only be as good as the analysis methods employed.

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Notes

  1. 1.

    http://www.wired.com/science/discoveries/magazine/16-07/pb_feeding.

  2. 2.

    http://www.wired.com/science/discoveries/magazine/16-07/pb_lawsuit.

  3. 3.

    http://www.nytimes.com/2011/03/05/science/05legal.html.

  4. 4.

    http://edocket.access.gpo.gov/2010/pdf/2010-17207.pdf.

  5. 5.

    http://www.vlab.org/article.html?aid=304.

  6. 6.

    http://quantifiedself.com/about/.

  7. 7.

    http://breakthroughs.cityofhope.org/molecular-subtyping-chemotherapy/5946/.

  8. 8.

    http://www.beckershospitalreview.com/healthcare-information-technology/4-steps-to-leveraging-qbig-dataq-to-reduce-hospital-readmissions.html.

  9. 9.

    http://quantifiedself.com/about/.

  10. 10.

    http://bigdatablog.emc.com/2012/11/09/openchorus-project-the-dawn-of-the-data-science-movement/.

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Authors and Affiliations

  1. Department of Medicine (Biomedical Informatics), Stanford University, 1265 Welch Road, Stanford, CA, 94305, USA

    Nigam H. Shah MBBS, PhD

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  1. Nigam H. Shah MBBS, PhD
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Correspondence to Nigam H. Shah MBBS, PhD .

Editor information

Editors and Affiliations

  1. Biomedical Informatics, The Ohio State University, Columbus, Ohio, USA

    Philip R.O. Payne

  2. Biomedical Informatics, The Ohio State University Medical Center, Columbus, Ohio, USA

    Peter J. Embi

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© 2015 Springer-Verlag London

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Shah, N.H. (2015). Using Big Data. In: Payne, P., Embi, P. (eds) Translational Informatics. Health Informatics. Springer, London. https://doi.org/10.1007/978-1-4471-4646-9_7

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  • DOI: https://doi.org/10.1007/978-1-4471-4646-9_7

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-4645-2

  • Online ISBN: 978-1-4471-4646-9

  • eBook Packages: MedicineMedicine (R0)

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