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Precision Population Health

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Encyclopedia of Big Data

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Synonyms

Precision public health

Definition

Precision population health refers to the emerging use of big data to improve the health of populations. In contrast to precision medicine, which focuses on detecting and treating disease in individuals, precision population health instead focuses on identifying and intervening on the determinants of health within and across populations. Though the application of the term “precision” is relatively new, the concept of applying the right intervention at the right time in the right setting is well-established. Recent advances in the volume, accessibility, and ability to process massive datasets offer enhanced opportunities to do just this, holding the potential to monitor population health progress in real-time, and allowing for more agile health programs and policies. As big data and machine learning are increasingly incorporated within population health, future work will continue to focus on the core tasks of improving population-wide...

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References

  • Desmond-Hellman, S. (2016). Progress lies in precision. Science, 353(6301), 731.

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Author information

Authors and Affiliations

  1. Arnhold Institute for Global Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA

    Emilie Bruzelius & James H. Faghmous

  2. Department of Epidemiology, Joseph L. Mailman School of Public Health, Columbia University, New York, NY, USA

    Emilie Bruzelius

Authors
  1. Emilie Bruzelius
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  2. James H. Faghmous
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Corresponding author

Correspondence to James H. Faghmous .

Editor information

Editors and Affiliations

  1. School of Policy, Government and International Affairs, George Mason University, Fairfax, VA, USA

    Laurie A. Schintler

  2. School of Policy, Government and International Affairs, George Mason University, Fairfax, VA, USA

    Connie L. McNeely

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Bruzelius, E., Faghmous, J.H. (2020). Precision Population Health. In: Schintler, L.A., McNeely, C.L. (eds) Encyclopedia of Big Data. Springer, Cham. https://doi.org/10.1007/978-3-319-32001-4_515-1

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  • DOI: https://doi.org/10.1007/978-3-319-32001-4_515-1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32001-4

  • Online ISBN: 978-3-319-32001-4

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