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 Prosperi; Matt Quinn; Le Shawndra N. Price; Paula K. Shireman; Sharon M. Smith; Rhonda Szczesniak; David Calvin Goff; George A. Mensah

doi:10.1016/j.jacc.2020.05.043

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

Surgery

Research output: Contribution to journal › Review 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 language	English (US)
Pages (from-to)	306-320
Number of pages	15
Journal	Journal of the American College of Cardiology
Volume	76
Issue number	3
DOIs	https://doi.org/10.1016/j.jacc.2020.05.043
State	Published - Jul 21 2020

Keywords

exposome
genome
implementation research
predictive analytics
social determinants

ASJC Scopus subject areas

Cardiology and Cardiovascular Medicine

Access to Document

10.1016/j.jacc.2020.05.043

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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

Precision Health Analytics With Predictive Analytics and Implementation Research : JACC State-of-the-Art Review. / Pearson, Thomas A.; Califf, Robert M.; Roper, Rebecca; Engelgau, Michael M.; Khoury, Muin J.; Alcantara, Carmela; Blakely, Craig; Boyce, Cheryl Anne; Brown, Marishka; Croxton, Thomas L.; Fenton, Kathleen; Green Parker, Melissa C.; Hamilton, Andrew; Helmchen, Lorens; Hsu, Lucy L.; Kent, David M.; Kind, Amy; Kravitz, John; Papanicolaou, George John; Prosperi, Mattia; Quinn, Matt; Price, Le Shawndra N.; Shireman, Paula K.; Smith, Sharon M.; Szczesniak, Rhonda; Goff, David Calvin; Mensah, George A.

In: Journal of the American College of Cardiology, Vol. 76, No. 3, 21.07.2020, p. 306-320.

Research output: Contribution to journal › Review article

Pearson, TA, Califf, RM, Roper, R, Engelgau, MM, Khoury, MJ, Alcantara, C, Blakely, C, Boyce, CA, Brown, M, Croxton, TL, Fenton, K, Green Parker, MC, Hamilton, A, Helmchen, L, Hsu, LL, Kent, DM, Kind, A, Kravitz, J, Papanicolaou, GJ, Prosperi, M, Quinn, M, Price, LSN, Shireman, PK, Smith, SM, Szczesniak, R, Goff, DC & Mensah, GA 2020, 'Precision Health Analytics With Predictive Analytics and Implementation Research: JACC State-of-the-Art Review', Journal of the American College of Cardiology, vol. 76, no. 3, pp. 306-320. https://doi.org/10.1016/j.jacc.2020.05.043

Pearson, Thomas A. ; Califf, Robert M. ; Roper, Rebecca ; Engelgau, Michael M. ; Khoury, Muin J. ; Alcantara, Carmela ; Blakely, Craig ; Boyce, Cheryl Anne ; Brown, Marishka ; Croxton, Thomas L. ; Fenton, Kathleen ; Green Parker, Melissa C. ; Hamilton, Andrew ; Helmchen, Lorens ; Hsu, Lucy L. ; Kent, David M. ; Kind, Amy ; Kravitz, John ; Papanicolaou, George John ; Prosperi, Mattia ; Quinn, Matt ; Price, Le Shawndra N. ; Shireman, Paula K. ; Smith, Sharon M. ; Szczesniak, Rhonda ; Goff, David Calvin ; Mensah, George A. / Precision Health Analytics With Predictive Analytics and Implementation Research : JACC State-of-the-Art Review. In: Journal of the American College of Cardiology. 2020 ; Vol. 76, No. 3. pp. 306-320.

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