Connect the evidence
Bring permitted sources into consistent definitions of place, barrier and time. Keep each source traceable so teams can check the evidence behind a result.
SPATIAL INTELLIGENCE FOR CARE ACCESS
See where access breaks down.
Plan what comes next.
Unify deidentified data to reveal barriers by ZIP code, forecast emerging needs, and guide service planning and investment.
Request a demoExplore an access-planning scenario.
Compare barriers, emerging demand and service options by area. Enable JavaScript to use the interactive map and scenario controls.
Illustrative planning scenario. The demonstration uses historical ZIP Code Tabulation Area boundaries and synthetic planning inputs, not resident records or validated forecasts.
Request a guided demoPUT THE INTELLIGENCE TO WORK
See the need.
Shape the response.
Counties and public agencies
Connect assessment to action.
Bring barriers, service availability and emerging demand into a shared view for community health assessment and community health improvement planning (CHA/CHIP).
Compare communities, identify overlapping needs and explore where transport, staffing or service hours could change access. Give planning partners a shared basis for action.
Funders and enterprises
Give investment a geographic focus.
Compare access gaps, service coverage and funding options by area.
Give partners a shared basis for setting priorities and measuring results.
Health systems and service organizations
Plan capacity around the barriers.
Look beyond demand totals to transportation, digital access and service availability. Explore where changing the service footprint or operating model could improve reach.
Compare the current plan with alternatives before committing resources, and keep clinical and operational judgment visible.
Pharma and life sciences
Understand where access falls short.
Examine local barriers to service access and community engagement. Use geographic evidence to focus planning with providers and public agencies.
The focus is aggregate access intelligence. Deidentified area data is not a tool for identifying residents or determining an individual's treatment.
PLATFORM OVERVIEW
One planning view.
A connected decision process.
See what may change
Explore emerging demand alongside current conditions. Keep assumptions and uncertainty visible as you compare future scenarios.
Coordinate the response
Use a shared scenario to discuss capacity, coverage and funding. Define the intervention, the responsible partners and the results to evaluate.
DATA & SECURITY
Trust starts with
what the data means.
CB-CAP is designed around deidentified, place-based intelligence. Implementation requires agreed data permissions, access controls, source definitions and human review.
About this interactive demonstration
The map uses historical 2010 ZIP Code Tabulation Areas around New York's Capital Region. These statistical areas are not current USPS delivery boundaries.
Barrier scores, service locations, demand indices and scenario effects are synthetic. Coverage circles illustrate service reach; they are not road-network travel-time estimates. The demonstration contains no resident records and does not provide validated forecasts.
Geographic sourceFrom demonstration to institutional use
A deployment must define the permitted sources, geographic resolution, refresh schedule and decision workflows. Forecast evaluation, privacy controls and operational review are part of that implementation.
Describe your geography and planning priorities in a demo request so the discussion can focus on the information and decisions your organization needs.
Plan around your geography.
Explore the barriers, service decisions and investment questions relevant to your organization.