Publications

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

Abstract

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.

Date
2018
Authors
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
Journal
Journal of clinical and translational science
Volume
2
Issue
3
Pages
178-182
Publisher
Cambridge University Press