For health plans & payers
HEDIS and Stars quality on better data — records stay where they live.
Instead of handing your network a data-cleaning project, HDIM operationalizes and enhances data quality for you, then serves it to both quality measurement (HEDIS, Stars, care-gap closure) and de-identified network sharing and research (k ≥ 11) — without centralizing anyone’s records.
How it works
Step 1
Operationalize the data (DQM)
Data Quality Monitor profiles your network feeds, then normalizes and enriches them in place — the data-intelligence work is done for you, not a project you staff.
Step 2
Measure HEDIS & Stars
Higher-quality data drives HEDIS and Stars measurement plus care-gap closure across your network, so quality and bonus performance rest on data you can trust.
Step 3
Share de-identified data
The same enhanced data supports de-identified network sharing and research (k ≥ 11 small-cell floor) — records stay in their home systems.
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.