The BHL
The Behavioral Health Lab (BHL) functions as a computational "dry lab" dedicated to advancing behavioral health research and informing behavioral health workforce policy through rigorous data science. We utilize systematic methods to investigate questions of interest to the field of behavioral health, translating complex data into actionable discoveries and evidence-based recommendations.
Our Research Approach
Researchers in the BHL leverage comprehensive, real-world data from diverse sources to study the prevalence, risk factors, and outcomes of various mental health conditions. Our methodology integrates robust data analytics with an understanding of population health dynamics.
Key Data Sources
The BHL primarily uses longitudinal 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
A core function of the BHL is to analyze these combined datasets to inform and evaluate behavioral health workforce policy. By identifying needs, disparities, and effective interventions, our findings provide the evidence base for strategic leadership and policy development to improve mental health services and patient outcomes.