Close care gaps before the scorecard — on data you can trust.
Most platforms leave the data-cleaning to you, then measure quality on whatever quality the data happens to have. HDIM operationalizes and enhances your data first, then drives care-gap closure and HEDIS on it — in near real time, so quality work happens before the scorecard, not after. Your PHI never leaves your boundary.
How it works
Data Quality Monitor profiles your feeds, then normalizes and enriches them in place — the data-intelligence work is done for you, not a project your team staffs.
Higher-quality data drives near-real-time care-gap closure and HEDIS measurement, so your quality team acts while it can still move shared-savings performance.
Buyer-grade evidence — architecture, controls, deployment — that your quality and compliance reviewers can use internally.
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.