Participatory methods to support team science development for predictive analytics in health.
Armen C ArevianDoug BellMark KretzmanConnie KasariShrikanth NarayananCarl KesselmanShinyi WuPaul Di CapuaWilliam HsuMathew KeenerJoshua PevnickKenneth B WellsBowen ChungPublished in: Journal of clinical and translational science (2018)
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.
Keyphrases
- big data
- public health
- healthcare
- mental health
- end stage renal disease
- quality improvement
- ejection fraction
- palliative care
- machine learning
- artificial intelligence
- newly diagnosed
- depressive symptoms
- primary care
- health information
- physical activity
- peritoneal dialysis
- social support
- health promotion
- patient reported