About
Our Research Approach
Our research aims to shape policy, enhance clinical practice, and inform the education of future behavioral scientists. Our methodology integrates robust data analytics with an understanding of population health dynamics.
The Behavioral Health Lab (BHL) functions as a computational "dry lab" using systematic methods to investigate questions of interest to the fields of behavioral health and behavioral medicine. We are dedicated to translating complex data into actionable discoveries and evidence-based recommendations.
Key Data Sources
The BHL primarily uses data from several sources:
- Electronic Medical Records (EMR) data from the NIH All of Us Research Program provide a vast, diverse dataset to help researchers examine complex health and behavioral health issues.
- Survey data collected directly from All of Us and community participants.
- Community data acquired through community-engaged data collection efforts provides crucial context on environmental and social factors influencing mental health and behavioral health services.
Impact and Policy Focus
Our work helps strengthen the behavioral health workforce, guide program planning, and support policies that expand access to quality mental health services. At the same time, our research in behavioral medicine aims to understand and improve the ways that behavior, biology, psychology, and social environments interact to influence health and illness.