Model-ready inputs
Standardize diagnoses, demographics, eligibility, and time periods for risk model execution.
Enterprise Application
Risk Adjustment
Calculate, explain, and operationalize risk adjustment on the same trusted data foundation as the rest of your analytics.
Why Risk Adjustment
Risk Adjustment connects diagnosis history, eligibility, demographics, and model logic in a transparent warehouse-native workflow.
Risk adjustment makes cost, utilization, and performance comparisons meaningful by accounting for differences in age, demographics, health status, and disease burden.
Tuva brings model inputs, condition categories, risk scores, and member-level detail into your warehouse so teams can validate the logic, trace results, and activate opportunities without relying on black-box exports.
- Models
- Reusable risk model workflows built on standardized Tuva data
- Explainability
- Trace scores back to diagnoses, categories, and member history
- Activation
- Publish member, provider, population, and contract-level outputs
See the application in action
Inside the application
01 / 03
See performance and exposure together
Monitor recapture, annual wellness visits, patient engagement, and open-gap revenue risk across contracts.
Population-level results remain connected to the gaps and signals that require action.
Application views
What your team can do
Use one controlled workflow for model calculation, validation, and downstream analytics.
Transparent scoring
Inspect condition categories, coefficients, interactions, and member-level score contributions.
Opportunity analysis
Identify recapture and documentation opportunities with the evidence behind each result.
Performance context
Use adjusted populations for more meaningful cost, utilization, and quality comparisons.
How it works
Keep the path from clinical history to business action fully traceable.
- 1
Prepare the population
Build model-ready eligibility, diagnosis, and demographic inputs from Core Platform.
- 2
Run and validate models
Calculate risk outputs and inspect member-level factors, categories, and score contributions.
- 3
Activate the results
Publish adjusted analytics and opportunity lists to provider, finance, and operations teams.
Put Risk Adjustment to work on your data.
Tell us which populations and risk models you manage today and we’ll map the application to your current workflow.