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Ariv Health
Product

For risk bearers

ACO tools

Model, refine, and optimize Medicare ACO economics side by side

Sub-second

Interactive what-if modeling across your full provider roster

Side by side

CMS programs modeled together for the same roster

One place

Providers, scenarios, optimization, and projected settlement together

The challenge

Shared savings should not be a surprise.

Shared-savings and loss outcomes under CMS programs are hard to predict and even harder to optimize across a large provider roster. Most ACOs stitch together views from reconciliation files, one-off analyses, and consultants, and still find out where they stand only after the performance year closes.

Ariv ACO tools turn that into fast, clear, interactive financial modeling. Choose providers, compare scenarios, project outcomes, and improve your position before the performance year, not after.

476

ACOs operating across Medicare value-based models

What we offer

01

Scenario modeling

Pick your providers, build scenarios, and instantly project outcomes under CMS programs side by side, so a participation decision compares its real alternatives.

02

Roster refinement

Refine your provider roster with interactive, sub-second what-if modeling, including which individual participants help your position and which quietly drag it.

03

Optimize the mix

Sweep program and parameter combinations across your whole roster against the objective you choose, from minimizing medical loss to maximizing shared savings, and see the best configurations ranked.

04

CMS-accurate methodology

A validated implementation of CMS financial methodology, so projections match the way your settlement is actually calculated, with lineage behind every cell.

Built for the way settlement actually works

Before, not after

See and improve your position during the performance year, not months after it closes.

Whole-roster view

Model the entire organization at once, rather than one provider analysis at a time.

See ACO tools intelligence on your own market.

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