Public health data infrastructure · Minneapolis, Minnesota

Data infrastructure and analysis for the questions public health partners actually have.

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

The kinds of data problems public health partners bring us

CHNA data & reporting

Timely, geographically detailed condition estimates for community health needs assessments — including populations standard survey data often misses.

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Health equity & disparities

Small-area mapping and stratified analysis to show where burden concentrates and for whom.

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Cross-system data linkage

Connect clinical, administrative, and program data without moving identifiable records between organizations.

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Dashboards & visualization

Interactive maps, charts, and exports designed for program staff and policymakers — not just analysts.

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Grant technical assistance

Data plans, evaluation design, and infrastructure language for CDC, NIH, HRSA, and state RFPs.

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Historical & structural determinants

Join historical policy boundaries — housing, zoning, investment — with present-day health outcomes.

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How partnerships typically evolve

Infrastructure first — AI when the foundation is ready

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.

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See the work in action

Case studies

Each project shows the problem a partner faced, how we approached it, and what they could use at the end.

Cross-system linkage

Linking health records across systems

Problem:
A consortium needed prevalence estimates without pooling patient-level data at a central site.
Approach:
Common clinical data standard, privacy-preserving linkage, and governed aggregate outputs.
Result:
A working pipeline demo you can walk through step by step.

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Population estimation

Health burden among people experiencing homelessness

Problem:
Agencies know PIT counts but lack condition burden estimates standard surveillance does not provide.
Approach:
HUD denominators plus literature prevalence rates, service geography, and explicit confidence ranges.
Result:
Reusable county/CoC methodology with map and service-desert layer.

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Health equity geography

Measuring redlining's present-day health impact

Problem:
Partners needed to show how 1930s housing policy still correlates with health today.
Approach:
Historical boundaries joined to census-tract health estimates and an interactive public map.
Result:
Tract-level comparison across diabetes, asthma, and mental distress in the Twin Cities metro.

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All case studies →

Who we work with

Public health agencies

State and local departments building surveillance, CHNA reporting, or program evaluation data systems.

Health system consortia

Multi-site collaborations that need shared standards, linkage, and governed outputs across partners.

Researchers & community orgs

Teams studying population health who need linked data, geospatial analysis, or public-facing tools.

Grant applicants

Organizations preparing proposals that need credible data infrastructure and evaluation components.

Newsletter

Stratum Health Weekly Intelligence

Curated grants, research, and policy updates for public health data professionals.

The digest arrives every Thursday morning.

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How the work is done

01

Assess

Understand your current data environment, governance constraints, and analytic priorities before scoping technical work.

02

Design

Specify architecture, data agreements, definitions, and output policies appropriate to your jurisdiction and audience.

03

Implement

Build pipelines, linkage workflows, analyses, and visualization layers — with documentation your team can maintain.

04

Publish

Deliver dashboards, file extracts, and reports designed for program staff, leadership, and oversight bodies.

Start a conversation

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.