Precision Health Analytics With Predictive Analytics and Implementation Research: JACC State-of-the-Art Review

Thomas A. Pearson, Robert M. Califf, Rebecca Roper, Michael M. Engelgau, Muin J. Khoury, Carmela Alcantara, Craig Blakely, Cheryl Anne Boyce, Marishka Brown, Thomas L. Croxton, Kathleen Fenton, Melissa C. Green Parker, Andrew Hamilton, Lorens Helmchen, Lucy L. Hsu, David M. Kent, Amy Kind, John Kravitz, George John Papanicolaou, Mattia ProsperiMatt Quinn, Le Shawndra N. Price, Paula K. Shireman, Sharon M. Smith, Rhonda Szczesniak, David Calvin Goff, George A. Mensah

Research output: Contribution to journalReview article

Abstract

Emerging data science techniques of predictive analytics expand the quality and quantity of complex data relevant to human health and provide opportunities for understanding and control of conditions such as heart, lung, blood, and sleep disorders. To realize these opportunities, the information sources, the data science tools that use the information, and the application of resulting analytics to health and health care issues will require implementation research methods to define benefits, harms, reach, and sustainability; and to understand related resource utilization implications to inform policymakers. This JACC State-of-the-Art Review is based on a workshop convened by the National Heart, Lung, and Blood Institute to explore predictive analytics in the context of implementation science. It highlights precision medicine and precision public health as complementary and compelling applications of predictive analytics, and addresses future research and training endeavors that might further foster the application of predictive analytics in clinical medicine and public health.

Original languageEnglish (US)
Pages (from-to)306-320
Number of pages15
JournalJournal of the American College of Cardiology
Volume76
Issue number3
DOIs
StatePublished - Jul 21 2020

Keywords

  • exposome
  • genome
  • implementation research
  • predictive analytics
  • social determinants

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine

Fingerprint Dive into the research topics of 'Precision Health Analytics With Predictive Analytics and Implementation Research: JACC State-of-the-Art Review'. Together they form a unique fingerprint.

  • Cite this

    Pearson, T. A., Califf, R. M., Roper, R., Engelgau, M. M., Khoury, M. J., Alcantara, C., Blakely, C., Boyce, C. A., Brown, M., Croxton, T. L., Fenton, K., Green Parker, M. C., Hamilton, A., Helmchen, L., Hsu, L. L., Kent, D. M., Kind, A., Kravitz, J., Papanicolaou, G. J., ... Mensah, G. A. (2020). Precision Health Analytics With Predictive Analytics and Implementation Research: JACC State-of-the-Art Review. Journal of the American College of Cardiology, 76(3), 306-320. https://doi.org/10.1016/j.jacc.2020.05.043