Turn your financial data into strategic growth with AltuMED’s enterprise revenue intelligence system. Use our predictive analytics and actionable insights to identify revenue growth opportunities and reduce risk.
Ready to unlock your true financial potential?
Disconnected EHR, billing, and payer data often cause RCM discrepancies that disrupt cash flow.
Manual tracking makes it difficult to work on all the denials. This leads to practices reworking a lot of unattended denials, increasing the overhead cost.
With no predictive model on the backend, providers fail to simulate the merger impact or even decipher patterns that lead to denials and audits.

It is a proactive way of using revenue cycle analytics for financial growth. It effectively addresses the above challenges to keep the revenue on the right course. It is a specialized solution for practices that cannot afford to go slow with legacy data techniques.
Revenue growth enablement works by:
In simple words, RGE is not just a way to monitor performance. It is a pathway to engineer your revenue growth.
This feature is a preemptive genius to save you from future trouble. It performs the following functions:
The insights from the Predictive Analytics Engine help ensure 92% billing accuracy. Here is how we train this AI engine:
We have normalized 5M+ de-identified claims from 200+ hospitals across 120+ dimensions, e.g., payer rules, CPT hierarchies, and modifier patterns.
Our transformer neural networks analyze temporal relationships (e.g., the impact of CPT updates on modifier usage).
Our certified coders audit AI predictions every week to create reinforcement learning feedback loops.
This feature suggests the next best actions in the RCM process.
This is one of the most important features of our smart RCM system. It includes the following functions:
We use smart reporting to drive growth and reduce cash disruptions. Here is what we offer:

Ready to engineer margin growth that’s substantial and sustainable?
Choose our RGE framework and see the difference yourself.
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