For health systems & IDNs
Quality and FHIR on your own boundary — proof before you commit.
HDIM operationalizes and enhances your data quality in place, then runs quality logic and FHIR interoperability on your own boundary — powering provider workflows and, where you need it, de-identified research (k ≥ 11). No black box, no forced migration; you inspect the deployment evidence first.
How it works
Step 1
Operationalize the data (DQM)
Data Quality Monitor profiles your systems’ feeds, then normalizes and enriches them in place — the data-intelligence work is done for you, no forced migration.
Step 2
Run quality + FHIR on your boundary
Higher-quality data powers care-gap closure, HEDIS, and FHIR interoperability inside your own boundary — connect the systems you already run.
Step 3
Prove deployment fit first
Inspect architecture, controls, and validation evidence before you scale — and serve de-identified research (k ≥ 11) where you need it.
Operator-safe by construction
- De-identified research output enforces a k ≥ 11 small-cell floor.
- PHI stays inside your boundary — nothing is centralized.
- Full audit trail; SOC 2 readiness posture.
- Demos run on synthetic data only.