Literature DB >> 32674794

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

Thomas A Pearson1, Robert M Califf2, Rebecca Roper3, Michael M Engelgau3, Muin J Khoury4, Carmela Alcantara5, Craig Blakely6, Cheryl Anne Boyce3, Marishka Brown7, Thomas L Croxton7, Kathleen Fenton3, Melissa C Green Parker3, Andrew Hamilton8, Lorens Helmchen9, Lucy L Hsu10, David M Kent11, Amy Kind12, John Kravitz13, George John Papanicolaou10, Mattia Prosperi14, Matt Quinn15, LeShawndra N Price3, Paula K Shireman16, Sharon M Smith17, Rhonda Szczesniak18, David Calvin Goff10, George A Mensah19.   

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

Entities:  

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

Year:  2020        PMID: 32674794     DOI: 10.1016/j.jacc.2020.05.043

Source DB:  PubMed          Journal:  J Am Coll Cardiol        ISSN: 0735-1097            Impact factor:   24.094


  3 in total

1.  Using a Participatory Approach to Develop Research Priorities for Future Leaders in Cancer-Related Precision Public Health.

Authors:  Megan C Roberts; June Mullaney Mader; Erin Turbitt; Amelia K Smit; Latrice Landry; Dana Lee Olstad; Lauren E Passero; Caitlin G Allen
Journal:  Front Genet       Date:  2022-06-09       Impact factor: 4.772

2.  Effects of a Novel Blood Glucose Forecasting Feature on Glycemic Management and Logging in Adults With Type 2 Diabetes Using One Drop: Retrospective Cohort Study.

Authors:  Steven D Imrisek; Matthew Lee; Dan Goldner; Harpreet Nagra; Lindsey M Lavaysse; Jamillah Hoy-Rosas; Jeff Dachis; Lindsay E Sears
Journal:  JMIR Diabetes       Date:  2022-05-03

3.  A theoretical model of health management using data-driven decision-making: the future of precision medicine and health.

Authors:  Eva Kriegova; Milos Kudelka; Martin Radvansky; Jiri Gallo
Journal:  J Transl Med       Date:  2021-02-15       Impact factor: 5.531

  3 in total

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