10decodersAnalytics you can act on — built on data you can trust
Good analytics start with clean, interoperable data. We build population health, quality-measure, and utilization analytics on top of de-duplicated, normalized data — delivered as living products we keep current, not one-off reports.
Where health data analytics usually goes wrong
Garbage-in analytics
Insights built on duplicated patients and inconsistent codes that no one trusts.
Measure blind spots
Quality gaps discovered at reporting deadline instead of when they can be closed.
Reports, not products
Static decks that are out of date the moment they are delivered.
Analytics we build and operate
Measurable, current analytics for value-based care and operations.
Population health
Risk stratification and cohort analytics to target care management where it moves outcomes.
Quality measures
HEDIS, MIPS, and CMS measure calculation with gap lists clinicians can act on.
Utilization & cost
ED, readmission, and utilization analytics tied to cost for value-based contracts.
Value-based care
Attribution, benchmarking, and shared-savings analytics for ACO and payer contracts.
Clinical & operational KPIs
Throughput, access, and outcome dashboards for clinical and operational leaders.
Operated data products
Refreshed on schedule with quality checks — living products, not one-time reports.
Map, build, prove, operate
Define
Agree the measures, cohorts, and KPIs and the data quality bar they require.
Build
Develop analytics on normalized, de-duplicated data with transparent logic.
Validate
Reconcile measure results against specs and clinical review before release.
Operate
Refresh on schedule with quality monitoring so the analytics stay current and actionable.
An insight you cannot trust is worse than none. We start with the data quality.
The platform-only model
- Analytics on whatever data exists
- Measures re-computed by hand each cycle
- Static reports go stale immediately
- No owner when a number looks wrong
The 10decoders model
- Built on de-duplicated, normalized data
- Measures computed transparently and re-run on schedule
- Living products refreshed under SLA
- We own quality and investigate anomalies
