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

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

doi:10.1017/cts.2018.313

Journal of Clinical and Translational Science (Jun 2018)

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

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

Affiliations

Armen C. Arevian: Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
Doug Bell: General Internal Medicine, Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
Mark Kretzman: Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
Connie Kasari: Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
Shrikanth Narayanan: Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA
Carl Kesselman: Epstein Department of Industrial and Systems Engineering, University of Southern California, Los Angeles, CA, USA
Shinyi Wu: School of Social Work, University of Southern California, Los Angeles, CA, USA
Paul Di Capua: Baptist Health Medical Group, Miami, FL, USA
William Hsu: ORCiD; Medical Imaging Informatics Group, Department of Radiological Sciences, University of California, Los Angeles, Los Angeles, CA, USA
Mathew Keener: Blackbird Health, Pittsburgh, PA, USA
Joshua Pevnick: Division of General Internal Medicine, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
Kenneth B. Wells: Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
Bowen Chung: Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA LA Biomed, University of California, Los Angeles, Los Angeles, CA, USA

DOI: https://doi.org/10.1017/cts.2018.313
Journal volume & issue: Vol. 2
pp. 178 – 182

Abstract

Read online

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.

Published in Journal of Clinical and Translational Science

ISSN: 2059-8661 (Online)
Publisher: Cambridge University Press
Country of publisher: United Kingdom
LCC subjects: Medicine
Website: https://www.cambridge.org/core/journals/journal-of-clinical-and-translational-science

About the journal

Abstract

Keywords