How We Help
Environmental Health Intelligence, Applied to Your Organization
The platform is free. When you need the analysis contextualized for your region, your population, and your strategic questions, that's where we come in.
Advisory
Environmental Health Intelligence Briefings
Custom analysis of environmental health risks, disease burden convergence, and service planning opportunities for a specific geography. We take the platform data and contextualize it for your region, your population, and your strategic questions.
Custom Geographic Analysis
Deep analysis of environmental health risk factors, disease burden patterns, and provider supply gaps for your specific service area or region.
Compound Signal Interpretation
Identification and interpretation of where multiple risk factors converge: the places where environmental risk, disease burden, and provider shortages overlap.
Service Line Opportunity Assessment
Data-driven analysis of where environmental health trends create service demand that existing provider capacity can't meet.
Provider Gap Analysis
Mapping of provider shortages against environmental risk and disease burden to identify where workforce needs are most acute.
Environmental Risk Trends & Projections
Trend analysis and forward-looking projections for environmental factors affecting health outcomes in your geography.
Delivered as Briefing Document + Presentation
A comprehensive briefing document plus a leadership-ready presentation, designed for board meetings, planning sessions, and grant applications.
Who this is for: Health system strategy teams, CHNA consultants, state and local health departments, and advocacy organizations working on environmental health equity.
Specialty
Healthcare Data Validation
Most healthcare organizations have a validation gap: analytics teams build reports, clinical stakeholders consume them, and nobody owns the space between. This advisory work is about closing that gap by building the discipline of shared accountability for data quality.
Validation Gap Assessments
An evaluation of how your organization handles the handoff between analytics and clinical teams: where errors can survive, who's actually checking, and where the ownership gaps are.
Validation Framework Design
Building systematic processes for verifying quality measures, operational reports, and AI-generated analytics before they go to leadership, regulators, or payers.
Clinical Partner Training
Equipping non-technical stakeholders to participate meaningfully in data validation: what to look for, how to flag concerns, and how to communicate with analytics teams.
Data Quality Culture Building
Helping leadership create shared accountability for data accuracy through the organizational structures, workflows, and norms that make validation a sustained practice.
Healthcare Data Validation Checklist
A practical checklist any healthcare data team can use to verify reports before they go out. What to check, who should check it, and what to do when something doesn't add up.
Get the Free Checklist →CCBHC Reporting Survival Guide
15 data quality pitfalls that cause CCBHC audit findings, and how to avoid them. Written for quality directors and compliance managers.
Download the Free Guide →Specialty
Healthcare Quality Reporting
Quality measure reporting is where data quality problems have the most direct consequences. The deepest technical specialty here is behavioral health quality reporting, including CCBHC measures and Medicaid compliance.
Reporting Infrastructure Assessment
A structured review of your current data extraction, measure calculation, and submission workflows. Identifies where errors are introduced and where the process breaks down under pressure.
Quality Measure Pipeline Design & Automation
Repeatable, idempotent workflows for calculating and submitting quality measures, built to run on a schedule rather than on demand.
EHR-to-Warehouse Data Extraction
Optimized extraction pipelines for Epic, Oracle Health, Netsmart, and other behavioral health EHR systems.
Audit Trail Implementation
Measure-level audit trails that document how each submitted number was calculated, so you can answer auditor questions with data instead of memory.
Data Reconciliation
Reconciliation between your clinic EHR, state reporting systems, and federal requirements. Catches discrepancies before they become findings.
Ongoing Reporting Cycle Support
Retainer-based support through each reporting cycle: running the pipeline, validating outputs, managing corrections, and staying current on specification changes.
Coming 2026
FutureHealthcare Data Literacy
Understanding environmental health data and clinical data validation, for the teams who need to act on it.
Clinical Data Validation for Healthcare Teams is a self-paced course designed to teach healthcare analysts, quality directors, and clinical informatics teams the discipline of data validation. The course is in development and launching in 2026.
In the meantime, the blog covers these topics in depth. No signup required. Start reading →
Join the Course Waitlist
Be the first to know when the course launches and get early access pricing.
What the course will cover
- ›The validation gap: what it is, why it exists, and why it's getting worse
- ›Environmental health data: interpreting compound signals and risk convergence
- ›Pre-submission verification: what to check before any report goes out
- ›Reviewing AI-generated analytics: a framework for evaluating outputs you didn't produce
- ›Building shared accountability between analytics teams and clinical stakeholders
Not Sure Where to Start?
Most engagements start with a conversation. No pitch, no pressure.
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