Geospatial
County-, ZIP-, and census-tract level views for rural, territorial, and urban communities.
Intelligence layer · Activated
Fragmented data into decision-ready insight. NHIT stitches geospatial, clinical, workforce, and social determinants data into one operational picture for federal, industry, and community partners.
Why the Data Fusion Center
Federal grantmakers, industry deployers, academic evaluators, and community operators cannot align if they cannot see the same map. The Data Fusion Center is the map.
County-, ZIP-, and census-tract level views for rural, territorial, and urban communities.
Aggregated, de-identified indicators from HIE, claims, and EHR partners.
Community health worker density, credentialing pipelines, and INSPIRED cohort placement.
Housing, broadband, food access, transit, and open data ingested from federal and state sources.
Named partners
NHIT's data fusion capacity is developed with cloud, data, and government-technology partners with public-sector operating experience. Every layer meets federal privacy, security, and de-identification standards before it reaches a partner dashboard.
What's fused
Named federal datasets, ingested and geospatially aligned to communities — with room for HIE, workforce, and academic partner data on top.
Census-tract SVI scoring across 16 social factors.
Nutrition-assistance participation as an SDoH signal.
Freight and passenger rail infrastructure for access modeling.
Broadband and cellular coverage baselines for digital-health equity.
FQHC locations and service areas for care-access planning.
National hospital dataset for capacity and referral analysis.
Sister Cities SDoH capstones have applied these layers to Roxbury / Back Bay (Boston — 23-year life expectancy gap), Ward 3 / Ward 8 (Washington, DC), and West Adams / View Park (Los Angeles), with MIT, George Mason, and Fort Valley State University.
Use cases
Grantmakers and territorial health authorities use fused views to target investment and measure outcomes across regions.
Payers, providers, and vendors get a pre-competitive baseline for pilot design and expansion planning.
Community-based organizations and CHW cooperatives see de-identified views of the populations they serve.