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

oleh: Armen C. Arevian, Doug Bell, Mark Kretzman, Connie Kasari, Shrikanth Narayanan, Carl Kesselman, Shinyi Wu, Paul Di Capua, William Hsu, Mathew Keener, Joshua Pevnick, Kenneth B. Wells, Bowen Chung

Format: Article
Diterbitkan: Cambridge University Press 2018-06-01

Deskripsi

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.