Mondrian Health
Product · Mondrian Estimate

Early visibility for strategic health planning.

Don't wait for finalised coding to start your financial and operational planning. Mondrian Estimate transforms early signals like the principal diagnosis into highly actionable, candidate DRG classifications to fuel your revenue modeling and simulation workflows.

Enterprise administrative estimator — not an official AR-DRG grouper. Mondrian Estimate™ provides candidate DRG-like groupings from a principal diagnosis and optional context for planning, costing, revenue analysis and simulation workflows only. Official AR-DRG grouping requires coded admitted episode data and appropriate grouper software. Diagnosis-to-DRG estimation is a best-fit approximation and may be non-equivalent. Do not use this service for clinical decisions, billing, coding, regulatory compliance or official funding determination.

Strategic Foresight

Empower your planning teams.

Revenue Scenario Modelling

Explore candidate DRG classifications to support proactive revenue and costing assumptions. Gain a reliable view of list-level financials, empowering private hospitals and service lines to plan ahead of the coding cycle.

Case-mix Simulation

Feed planning-grade candidate groupings directly into your capacity and case-mix simulation models.

Service-line Planning

Profile likely groupings and revenue pathways by specialty to align operational resources.

Dynamic Sensitivity Testing

Don't rely on static assumptions. Compare how candidate groupings shift under different clinical and operational inputs (like changes in length of stay or admission type) to build highly resilient operational plans.

Transparent AI

Rules-plus-ML estimation

Mondrian Estimate utilises a sophisticated blend of best-fit diagnosis-to-ADRG approximation and version-specific machine learning models. Crucially, every step is explainable.

Dynamic Inputs.
Start with just a principal diagnosis, and optionally layer in age, gender, length of stay, procedures, or MBS items to refine accuracy.
Confidence Bands.
We don't hide uncertainty behind a single answer. Mondrian Estimate outputs candidate groupings alongside clear confidence bands and alternative scenarios.
Full Audit Trace.
Every output includes a complete rules trace, model version, and underlying assumptions so your finance and health information teams can review with confidence.

The Mondrian Estimate Workflow

1. Diagnosis Intake & Normalisation
2. Diagnosis-to-ADRG Approximation
3. Version-Specific ML & Rules Engine
Exportable Planning Object

Enterprise Safety

Designed for rigorous, responsible planning.

Mondrian Estimate is purpose-built to separate upstream strategic modeling from downstream compliance. We provide the guardrails so you can plan innovatively without crossing clinical or billing boundaries.

Purpose-Built for Planning

Explicitly scoped for administrative decision support. By keeping Mondrian Estimate separate from clinical triage or official funding determinations, your planning teams can iterate freely.

Human-in-the-Loop Design

We believe in augmenting expertise. Mondrian Estimate outputs are designed to be reviewed, validated, and governed by your qualified planning, finance, and health information leaders.

Version-Aware Intelligence

Ensure apples-to-apples comparisons. Mondrian Estimate maintains separate configurations for different AR-DRG versions, ensuring your historical analyses and future forecasts share a transparent baseline.

* Note: Mondrian Estimate is an enterprise administrative estimator and does not replace qualified clinical coding, health information management review, or licensed grouper software for official billing purposes.

Common questions about Mondrian Estimate

How does Mondrian Estimate differ from our official AR-DRG grouper?
Mondrian Estimate is built for foresight, not hindsight. While your official grouper relies on finalised coded admitted episode data for billing, Mondrian Estimate uses early signals (like the principal diagnosis) to help you model and plan strategically long before the episode is officially coded.
What inputs are needed to generate a scenario?
A principal diagnosis is the only required starting point. However, providing optional context—such as age, gender, admission type, length of stay, or associated MBS items—enhances the fidelity of the estimate.
Why does Mondrian Estimate support multiple AR-DRG versions?
Strategic planning often requires comparing current performance against future funding models. We support multiple versions (e.g., V10, V11, V12) transparently, allowing your analysts to run scenarios across different funding contexts.
Can this data feed our existing simulation workflows?
Absolutely. Mondrian Estimate outputs are designed to be exported as planning-grade candidate assumptions, seamlessly feeding into your broader capacity, case-mix, and financial simulation models.
Next steps

Ready to elevate your administrative planning?

Discover how Mondrian Estimate can provide your finance and strategy teams with the early insights they need to model capacity and revenue scenarios with confidence.