Data Quality Monitor

Grade the feed before you measure

DQM is the entry wedge: it scores every inbound and outbound feed across five quality dimensions and gates execution, so quality measurement runs on data that's actually fit for it — all inside your boundary. Try it below.

Introduce a data-quality issue

Toggle synthetic feed problems and watch DQM re-grade the feed. No real patient data is used.

Completeness

Missing date of birthMissing member ID

Conformance

Local codes instead of LOINC/SNOMED

Accuracy

Lab value outside plausible range

Consistency

Name mismatch across source systems

Timeliness

Event delivered more than 72h late

Feed quality score

Completeness100

Required fields are present

Conformance100

Codes & structure match the standard

Accuracy100

Values are plausible and correct

Consistency100

Records agree across source systems

Timeliness100

Events arrive fast enough to act on

Composite score100

✓ Fit for measurement — passes the execution gate

Gate: composite ≥ 80 and every dimension ≥ 50.

Illustrative model of the DQM five-dimension scoring approach. Synthetic data only; not the production algorithm or a performance claim.