To date, there is significant evidence of health disparities within underserved communities, including those due to the effects of social determinants and institutional racism. However, several factors of the research landscape impede efforts to make meaningful change:
Current research is siloed and generally knowledge-driven, not grounded in application and operational change
Existing datasets about these disparities are not well-connected and do not serve a common purpose, due to limited incentives—including barriers inherent in the reimbursement system
The use of advanced analytics and combined datasets has been limited, causing a lack of understanding of major points of intervention