Layer 01
Geospatial
County-, ZIP-, and census-tract level views for rural, territorial, and urban communities.
Intelligence layer · Activated
The Data Fusion Center® — decision-ready insight for every partner.
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®
Every partner sees the same operational picture.
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.
Layer 02
Clinical & utilization
Aggregated, de-identified indicators from HIE, claims, and EHR partners.
Layer 03
Workforce
Community health worker density, credentialing pipelines, and INSPIRED cohort placement.
Layer 04
Social determinants
Housing, broadband, food access, transit, and open data ingested from federal and state sources.
Named Collaborators
Built with AWS and Tyler Technologies.
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.
- HIPAA-aligned governance and role-based access
- De-identification for community-facing views
- Federated ingestion — data stays in its home system where required
- Territorial and rural coverage prioritized from day one
The Data Fusion Center® in action
How NHIT puts intelligence to work.
Three working tools built on the Data Fusion Center® — turning fragmented public data into decisions communities, health systems, and policymakers can act on.
Rural Hospital Insights
Understanding Rural Hospital Risk
- National Overview
- State Dashboard
- Hospital Snapshot
- Intervention Engine
- Broadband Access
2,300
Rural hospitals scored
50 states
186
Critical risk (score ≥ 70)
avg margin −13.1%
450
High risk (50–69)
636 high + critical
One composite score per hospital — margins, payer mix, liquidity, and community need — so partners can see which rural hospitals are closest to the edge and where AI-enabled revenue recovery and targeted interventions can keep care local.
Request a rural hospital briefingNHIT® Open Data Master Catalog
One catalog, every source NHIT has gathered
211
curated datasets
321
portals
27
fields per record
211 curated datasets (27-field records), 321 portals across federal, state, county, city, global, private and research sources.
- Federal
- State
- County
- City
- Global
- Private
- Research
Diagnosis-to-Treatment Model · Population Health & Community Innovation
From diagnosis to treatment
NHIT understands that in every community, the assets already exist: health systems, insurers, community organizations, digital tools and patient-support programs. They are fragmented, inconsistently communicated, and often not trusted by or accessible to the people who need them. NHIT Diagnosis to Treatment makes one national model actionable: close the awareness, access and persistence gaps, with policy running across all three.
- 01Awareness
- 02Access
- 03Persistence
Policy — across all three
What's fused
Federal open data — stitched into one operational picture.
Named federal datasets, ingested and geospatially aligned to communities — with room for HIE, workforce, and academic partner data on top.
CDC Social Vulnerability Index
Census-tract SVI scoring across 16 social factors.
Census Tract SNAP Participation
Nutrition-assistance participation as an SDoH signal.
DOT National Railways
Freight and passenger rail infrastructure for access modeling.
FCC Cell Towers
Broadband and cellular coverage baselines for digital-health equity.
Federally Qualified Health Centers
FQHC locations and service areas for care-access planning.
DHS Hospitals
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
Three ways partners use the Data Fusion Center®.
Federal & territorial
Grantmakers and territorial health authorities use fused views to target investment and measure outcomes across regions.
Industry deployers
Payers, providers, and vendors get a pre-competitive baseline for pilot design and expansion planning.
Community operators
Community-based organizations and CHW cooperatives see de-identified views of the populations they serve.