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

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

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

Thomas A Pearson 1, Robert M Califf 2, Rebecca Roper 3, Michael M Engelgau 3, Muin J Khoury 4, Carmela Alcantara 5, Craig Blakely 6, Cheryl Anne Boyce 3, Marishka Brown 7, Thomas L Croxton 7, Kathleen Fenton 3, Melissa C Green Parker 3, Andrew Hamilton 8, Lorens Helmchen 9, Lucy L Hsu 10, David M Kent 11, Amy Kind 12, John Kravitz 13, George John Papanicolaou 10, Mattia Prosperi 14, Matt Quinn 15, LeShawndra N Price 3, Paula K Shireman 16, Sharon M Smith 17, Rhonda Szczesniak 18, David Calvin Goff Jr 10, George A Mensah 19

Affiliations 

• PMID: 32674794
 
• DOI: 10.1016/j.jacc.2020.05.043

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.

Keywords: exposome; genome; implementation research; predictive analytics; social determinants.

Copyright © 2020 American College of Cardiology Foundation. All rights reserved.

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