The Medigy Opportunity Atlas turns publicly available healthcare data into a queryable, reimbursement-aligned opportunity map — running in your environment, in plain SQL, ready for both humans and AI agents.
Six stages. All inspectable. All in your environment.
DuckDB or SQLite inside your environment. No vendor lock-in, no data egress.
Every transformation is a SQL view your team can audit, fork, and extend.
SELECT cohort, hrr, AVG(pmpy_cost) FROM cost_of_care…
Schemas, names, and grain are structured so MCPs and LLMs query without preprocessing.
Three of the canonical views your team — and your agents — query directly.
-- Cost per beneficiary by chronic cohort × HRR SELECT cohort, hrr, AVG(total_cost_pmpy) AS pmpy, COUNT(*) AS n_beneficiaries FROM cost_of_care_by_cohort_and_geo WHERE cohort IN ('CHF','COPD','Diabetes') GROUP BY 1, 2 ORDER BY pmpy DESC LIMIT 5;
| cohort | hrr | pmpy_$ | n |
|---|---|---|---|
| CHF | Miami, FL | 32,140 | 8,221 |
| CHF | Houston, TX | 29,880 | 11,402 |
| COPD | Birmingham, AL | 27,510 | 6,118 |
| Diabetes | Bronx, NY | 24,902 | 14,330 |
| CHF | Phoenix, AZ | 23,770 | 9,540 |
184k addressable beneficiaries across 11 HRRs show high CHF readmit rates and active MA Star pressure. Reimbursement aligns to GUIDE + MA HEDIS. No incumbent RPM partner in 7 of 11 markets.
30 minutes. We'll point it at the segment, geography, or product line you care about.