CHNA data & reporting
Timely, geographically detailed condition estimates for community health needs assessments — including populations standard survey data often misses.
Public health data infrastructure · Minneapolis, Minnesota
County health departments, state agencies, academic researchers, and community organizations come to us with messy, sensitive, or fragmented data — and need something they can report on, map, link across systems, or put in front of a board.
We build the pipelines, analyses, and visualizations to get there — whatever the data challenge requires.
What we help with
Timely, geographically detailed condition estimates for community health needs assessments — including populations standard survey data often misses.
Small-area mapping and stratified analysis to show where burden concentrates and for whom.
Connect clinical, administrative, and program data without moving identifiable records between organizations.
Interactive maps, charts, and exports designed for program staff and policymakers — not just analysts.
Data plans, evaluation design, and infrastructure language for CDC, NIH, HRSA, and state RFPs.
Join historical policy boundaries — housing, zoning, investment — with present-day health outcomes.
How partnerships typically evolve
Most counties and public health agencies do not start with AI. They start with linked data, governance, and reporting — then equity analysis, then assisted workflows built on top. We do not lead with AI because there is rarely a foundation to automate yet.
See the work in action
Each project shows the problem a partner faced, how we approached it, and what they could use at the end.
Cross-system linkage
Population estimation
Health equity geography
State and local departments building surveillance, CHNA reporting, or program evaluation data systems.
Multi-site collaborations that need shared standards, linkage, and governed outputs across partners.
Teams studying population health who need linked data, geospatial analysis, or public-facing tools.
Organizations preparing proposals that need credible data infrastructure and evaluation components.
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Understand your current data environment, governance constraints, and analytic priorities before scoping technical work.
Specify architecture, data agreements, definitions, and output policies appropriate to your jurisdiction and audience.
Build pipelines, linkage workflows, analyses, and visualization layers — with documentation your team can maintain.
Deliver dashboards, file extracts, and reports designed for program staff, leadership, and oversight bodies.
Whether you need CHNA data, a cross-system linkage plan, an equity mapping project, or grant technical support — tell us what you're working on and we'll talk through what a fit looks like.