RCMOS’s AI-powered analytics engine serves as a predictive brain for your revenue cycle. It performs revenue leakage detection, cash forecasting, payer scoring, and performance benchmarking to help you with informed decision-making. With its help, you can turn raw data into strategic revenue growth.
Acting on your gut feeling is an absolute recipe for RCM disaster. It can lead to:
This percentage is far from being harmless. The cumulative effect calculated over the year can mean losses worth millions. The culprits behind such leakages include underpayments, missing charges, and coding shortfalls.
Without the right analytics, you will essentially be operating without knowing. You will be oblivious to your denial rate compared to peers, your staff performance, and payer behavior. The impact will be in the form of losing your edge among your competitors.
Not acting on the right analytics can lead to seasonal dips crashing budgets, payer delays disrupting cash flows, and denial spikes. The resultant situation can call forth the need for financial fire drills.
Denial management is more effective when done preemptively. Otherwise, it can waste more than 65% of your operational workforce’s time. Your team will be busy chasing denials, appealing, and manual root cause analysis instead of working on operational growth.
RCMOS’s neural network helps you turn data into dollars. The main features of this analytics engine include the following.
This AI-powered “X-ray” scans every transaction for revenue gaps. Its main functions are:
This financial “weather forecast” predicts revenue storms or sunshine. Its main functions include:
This feature is your virtual “competition scout” that shows how well you are stacking up. It works by:
This helps reveal your performance against peers. You will be able to know whether your coding speed is faster or slower. It will also help you determine your denial rate compared to others. You can use this data to adjust your performance and make it above par.
This payer intelligence agent grades insurers based on profitability. It works by:
Using this intel, you can renegotiate payer contracts to reduce denials.

Module
| Quantitative Methodology
| Financial Impact
|
|---|---|---|
Deterministic Anomaly Detection
| HCC RAF-scoring AI + NLP contractual analysis | 18% leakage reduction |
Procedure-Code Benchmarking
| Real-time peer comparison at CPT-code granularity | Top 10% denial performance |
Stochastic Cash Flow Engine
| Probabilistic modeling (payer velocity × seasonality) | 39% forecast accuracy gain |
Payer Clause Intelligence
| Contract NLP + denial pattern recognition | 27% SLA renegotiation leverage |
(Algorithm-Driven Solutions)
Capability
| General BI Tools
| RCMOS Intelligence
|
|---|---|---|
DRG Underpayment Detection
| (none) | HCC RAF-scoring AI |
Cash Flow Modeling
| Linear projections | Monte Carlo simulations |
Benchmark Granularity
| Specialty-level | Procedure-code level |
Payer Negotiation Intel
| Historical trends | Clause-level analysis |
Validation | Internal testing | KLAS-validated accuracy |
We help you predict so that you don’t have to react. Our intelligence platform offers incredibly accurate insights to help you grow.
Enter your email to receive our newsletter, so you can stay in the loop with our latest promos.