04 / Normalization
Book a demo →A uniform model of care delivery.
Without a uniform model, opportunity detection becomes fragmented and unreliable. The Medigy Opportunity Atlas standardizes the model upfront.
For:BD leadersProductData teams
Core entities
Providers
npitinspecialtyorg_hierarchyaffiliation
Patients / Cohorts
cohort_idcondition_grouperrisk_scoredual_eligible_flag
Geography
zip5county_fipshrrhsastate
Encounters
encounter_idtypesite_of_carelosdischarge_disposition
Cost
allowed_amountpaid_amountppm_pmpmcategory
Quality / Outcomes
measure_idnumeratordenominatorratebenchmark
Payment models
model_idtrackbenchmark_yearshared_savings_rate
Why this matters
- — Cross-dataset joins are trivial when keys are aligned
- — Cohort definitions stay consistent across analyses
- — Performance metrics are comparable across geographies and providers
- — New data sources plug in without re-engineering downstream logic
What this means for you
When BD asks "show me CHF cohorts in HRR 423 with low CCM utilization," that question resolves to a single SQL join — not a two-week data engineering project.
See this in your data
Ready to put the Opportunity Atlas to work?
See the Opportunity Atlas run against your product, segment, or geography in a 30-minute walkthrough.