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The new era of precision population health: insights for the All of Us Research Program and beyond

Although precision medicine has made advances in individualized patient treatments, there needs to be continued attention on tailored population health and prevention strategies (often termed “precision population health”). As we continue to link datasets and use “big data” approaches in medicine, i...

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Autores principales: Lyles, Courtney R., Lunn, Mitchell R., Obedin-Maliver, Juno, Bibbins-Domingo, Kirsten
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6062956/
https://www.ncbi.nlm.nih.gov/pubmed/30053823
http://dx.doi.org/10.1186/s12967-018-1585-5
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author Lyles, Courtney R.
Lunn, Mitchell R.
Obedin-Maliver, Juno
Bibbins-Domingo, Kirsten
author_facet Lyles, Courtney R.
Lunn, Mitchell R.
Obedin-Maliver, Juno
Bibbins-Domingo, Kirsten
author_sort Lyles, Courtney R.
collection PubMed
description Although precision medicine has made advances in individualized patient treatments, there needs to be continued attention on tailored population health and prevention strategies (often termed “precision population health”). As we continue to link datasets and use “big data” approaches in medicine, inclusion of diverse populations and a focus on disparities reduction are key components within a precision population health framework. Specific recommendations from the All of Us Research Program and the Precision Public Health Summit provide examples for moving this field forward.
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spelling pubmed-60629562018-07-31 The new era of precision population health: insights for the All of Us Research Program and beyond Lyles, Courtney R. Lunn, Mitchell R. Obedin-Maliver, Juno Bibbins-Domingo, Kirsten J Transl Med Commentary Although precision medicine has made advances in individualized patient treatments, there needs to be continued attention on tailored population health and prevention strategies (often termed “precision population health”). As we continue to link datasets and use “big data” approaches in medicine, inclusion of diverse populations and a focus on disparities reduction are key components within a precision population health framework. Specific recommendations from the All of Us Research Program and the Precision Public Health Summit provide examples for moving this field forward. BioMed Central 2018-07-27 /pmc/articles/PMC6062956/ /pubmed/30053823 http://dx.doi.org/10.1186/s12967-018-1585-5 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Commentary
Lyles, Courtney R.
Lunn, Mitchell R.
Obedin-Maliver, Juno
Bibbins-Domingo, Kirsten
The new era of precision population health: insights for the All of Us Research Program and beyond
title The new era of precision population health: insights for the All of Us Research Program and beyond
title_full The new era of precision population health: insights for the All of Us Research Program and beyond
title_fullStr The new era of precision population health: insights for the All of Us Research Program and beyond
title_full_unstemmed The new era of precision population health: insights for the All of Us Research Program and beyond
title_short The new era of precision population health: insights for the All of Us Research Program and beyond
title_sort new era of precision population health: insights for the all of us research program and beyond
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6062956/
https://www.ncbi.nlm.nih.gov/pubmed/30053823
http://dx.doi.org/10.1186/s12967-018-1585-5
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