Four modules, one shared data model.

The classification engine at the center of the platform. It groups clinical episodes into DRGs using country- or payer-specific logic, versioned against each tariff year, and flags any coding change that would move a case into a different group before the claim goes out.

• Supports multiple national and payer-specific grouper logics
• Groups at the point of coding, not just at month-end batch runs
• Automatic tariff-year version control with side-by-side comparison
• Full audit trail from source diagnosis codes to final DRG

Patient-level costing that ties each DRG back to the resources it actually consumed — staff time, theatre minutes, prosthetics, ward days — so a tariff can be checked against real cost instead of a historical average that's drifted out of date.

• Activity-based costing down to the individual patient episode
• Reconciles top-down ledger costs with bottom-up activity data
• Cost-driver library maintained against local practice, not a generic template
• Feeds tariff negotiations and internal service-line profitability views

Casemix and cost outputs formatted for actuarial use — risk adjustment, reserving, and premium modeling — so payers and insurers aren't rebuilding this data from raw claims themselves every time a model needs refreshing.

• Risk-adjusted casemix indices by population segment
• Claims triangulation data formatted for reserving models
• Scenario modeling for tariff or benefit-design changes
• Delivered in formats that plug into standard actuarial software

Casemix-adjusted comparison across hospitals, departments, or tariff years — so a length-of-stay or cost difference means something specific, instead of being explained away as "our patients are sicker."

• Peer-group benchmarking adjusted for casemix complexity
• Length-of-stay, cost, and readmission comparisons at DRG level
• Trend views across tariff years, not just a single snapshot
• Configurable peer groups — by size, region, or teaching status