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Participatory methods to support team science development for predictive analytics in health

Predictive analytics in health is a complex, transdisciplinary field requiring collaboration across diverse scientific and stakeholder groups. Pilot implementation of participatory research to foster team science in predictive analytics through a partnered-symposium and funding competition. In total...

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Autores principales: Arevian, Armen C., Bell, Doug, Kretzman, Mark, Kasari, Connie, Narayanan, Shrikanth, Kesselman, Carl, Wu, Shinyi, Di Capua, Paul, Hsu, William, Keener, Mathew, Pevnick, Joshua, Wells, Kenneth B., Chung, Bowen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6199545/
https://www.ncbi.nlm.nih.gov/pubmed/30370071
http://dx.doi.org/10.1017/cts.2018.313
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author Arevian, Armen C.
Bell, Doug
Kretzman, Mark
Kasari, Connie
Narayanan, Shrikanth
Kesselman, Carl
Wu, Shinyi
Di Capua, Paul
Hsu, William
Keener, Mathew
Pevnick, Joshua
Wells, Kenneth B.
Chung, Bowen
author_facet Arevian, Armen C.
Bell, Doug
Kretzman, Mark
Kasari, Connie
Narayanan, Shrikanth
Kesselman, Carl
Wu, Shinyi
Di Capua, Paul
Hsu, William
Keener, Mathew
Pevnick, Joshua
Wells, Kenneth B.
Chung, Bowen
author_sort Arevian, Armen C.
collection PubMed
description Predictive analytics in health is a complex, transdisciplinary field requiring collaboration across diverse scientific and stakeholder groups. Pilot implementation of participatory research to foster team science in predictive analytics through a partnered-symposium and funding competition. In total, 85 stakeholders were engaged across diverse translational domains, with a significant increase in perceived importance of early inclusion of patients and communities in research. Participatory research approaches may be an effective model for engaging broad stakeholders in predictive analytics.
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spelling pubmed-61995452018-10-25 Participatory methods to support team science development for predictive analytics in health Arevian, Armen C. Bell, Doug Kretzman, Mark Kasari, Connie Narayanan, Shrikanth Kesselman, Carl Wu, Shinyi Di Capua, Paul Hsu, William Keener, Mathew Pevnick, Joshua Wells, Kenneth B. Chung, Bowen J Clin Transl Sci Implementation, Policy and Community Engagement Predictive analytics in health is a complex, transdisciplinary field requiring collaboration across diverse scientific and stakeholder groups. Pilot implementation of participatory research to foster team science in predictive analytics through a partnered-symposium and funding competition. In total, 85 stakeholders were engaged across diverse translational domains, with a significant increase in perceived importance of early inclusion of patients and communities in research. Participatory research approaches may be an effective model for engaging broad stakeholders in predictive analytics. Cambridge University Press 2018-08-30 /pmc/articles/PMC6199545/ /pubmed/30370071 http://dx.doi.org/10.1017/cts.2018.313 Text en © The Association for Clinical and Translational Science 2018 http://creativecommons.org/licenses/by-ncnd/4.0/ This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike licence (http://creativecommons.org/licenses/by-ncnd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the same Creative Commons licence is included and the original work is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use.
spellingShingle Implementation, Policy and Community Engagement
Arevian, Armen C.
Bell, Doug
Kretzman, Mark
Kasari, Connie
Narayanan, Shrikanth
Kesselman, Carl
Wu, Shinyi
Di Capua, Paul
Hsu, William
Keener, Mathew
Pevnick, Joshua
Wells, Kenneth B.
Chung, Bowen
Participatory methods to support team science development for predictive analytics in health
title Participatory methods to support team science development for predictive analytics in health
title_full Participatory methods to support team science development for predictive analytics in health
title_fullStr Participatory methods to support team science development for predictive analytics in health
title_full_unstemmed Participatory methods to support team science development for predictive analytics in health
title_short Participatory methods to support team science development for predictive analytics in health
title_sort participatory methods to support team science development for predictive analytics in health
topic Implementation, Policy and Community Engagement
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6199545/
https://www.ncbi.nlm.nih.gov/pubmed/30370071
http://dx.doi.org/10.1017/cts.2018.313
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