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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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Detalles Bibliográficos
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
Descripción
Sumario: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.