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Realizing the full potential of precision health: The need to include patient-reported health behavior, mental health, social determinants, and patient preferences data
Precision health and big data approaches have great potential, yet such benefits will be realized only when social and behavioral determinants of health and patient preferences are combined with genomic information. Literature review and co-author experiences informed this commentary. Validated heal...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6202010/ https://www.ncbi.nlm.nih.gov/pubmed/30370072 http://dx.doi.org/10.1017/cts.2018.31 |
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author | Glasgow, Russell E. Kwan, Bethany M. Matlock, Daniel D. |
author_facet | Glasgow, Russell E. Kwan, Bethany M. Matlock, Daniel D. |
author_sort | Glasgow, Russell E. |
collection | PubMed |
description | Precision health and big data approaches have great potential, yet such benefits will be realized only when social and behavioral determinants of health and patient preferences are combined with genomic information. Literature review and co-author experiences informed this commentary. Validated health behavior, mental health, and patient preference measures were collected and summarized in real time. Integration of such data into existing data sets will advance precision health, patient-centered care, research, and policy. |
format | Online Article Text |
id | pubmed-6202010 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-62020102018-10-26 Realizing the full potential of precision health: The need to include patient-reported health behavior, mental health, social determinants, and patient preferences data Glasgow, Russell E. Kwan, Bethany M. Matlock, Daniel D. J Clin Transl Sci Translational Research, Design and Analysis Precision health and big data approaches have great potential, yet such benefits will be realized only when social and behavioral determinants of health and patient preferences are combined with genomic information. Literature review and co-author experiences informed this commentary. Validated health behavior, mental health, and patient preference measures were collected and summarized in real time. Integration of such data into existing data sets will advance precision health, patient-centered care, research, and policy. Cambridge University Press 2018-09-13 /pmc/articles/PMC6202010/ /pubmed/30370072 http://dx.doi.org/10.1017/cts.2018.31 Text en © The Association for Clinical and Translational Science 2018 http://creativecommons.org/licenses/by-ncsa/4.0/ This is an Open Access article, distributed under the terms of the Creative Commons Attribution-Non Commercial-NoDerivatives licence (http://creativecommons.org/licenses/by-ncnd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work |
spellingShingle | Translational Research, Design and Analysis Glasgow, Russell E. Kwan, Bethany M. Matlock, Daniel D. Realizing the full potential of precision health: The need to include patient-reported health behavior, mental health, social determinants, and patient preferences data |
title | Realizing the full potential of precision health: The need to include patient-reported health behavior, mental health, social determinants, and patient preferences data |
title_full | Realizing the full potential of precision health: The need to include patient-reported health behavior, mental health, social determinants, and patient preferences data |
title_fullStr | Realizing the full potential of precision health: The need to include patient-reported health behavior, mental health, social determinants, and patient preferences data |
title_full_unstemmed | Realizing the full potential of precision health: The need to include patient-reported health behavior, mental health, social determinants, and patient preferences data |
title_short | Realizing the full potential of precision health: The need to include patient-reported health behavior, mental health, social determinants, and patient preferences data |
title_sort | realizing the full potential of precision health: the need to include patient-reported health behavior, mental health, social determinants, and patient preferences data |
topic | Translational Research, Design and Analysis |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6202010/ https://www.ncbi.nlm.nih.gov/pubmed/30370072 http://dx.doi.org/10.1017/cts.2018.31 |
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