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

Area of Science:

• Health informatics
• Translational science
• Team science

Background:

• Predictive analytics in health is a complex, transdisciplinary field.
• Effective collaboration across diverse scientific and stakeholder groups is crucial.

Purpose of the Study:

• To pilot participatory research methods for fostering team science in health predictive analytics.
• To assess the impact of a partnered symposium and funding competition on stakeholder engagement.

Main Methods:

• Engaged 85 stakeholders from diverse translational domains.
• Implemented a partnered symposium and funding competition.
• Utilized participatory research approaches.

Main Results:

• Achieved significant stakeholder engagement across various translational domains.
• Demonstrated a significant increase in the perceived importance of early patient and community inclusion in research.
• Indicated potential effectiveness of participatory research models.

Conclusions:

• Participatory research approaches can effectively engage diverse stakeholders in health predictive analytics.
• Early inclusion of patients and communities is vital for successful predictive analytics in health.
• This model fosters collaboration and team science in a complex field.