Closing the revenue cycle gap through autonomous ICD-10/CPT assignment and claim scrubbing.
The Challenge
For mid-sized clinics and billing centers, manual coding is a high-latency bottleneck. Human fatigue leads to an average 18% claim denial rate, costing providers millions in delayed revenue and audit penalties.
The Solution: Nexus Billing Agent
We implemented a multi-agent system that synthesizes clinical notes using Google Gemini API, cross-references with the latest CMS/Payer rules, and assigns optimized codes.
Key Capabilities
- Autonomous Coding: Direct extraction from SOAP notes and Lab Results.
- Claim Scrubbing: Pre-submission validation against 1,200+ payer-specific rules.
- Denial Prediction: AI-powered risk assessment before the claim ever leaves the server.
| Metric | Manual Process | Nexus AI Agent |
|---|---|---|
| Coding Latency | 24 - 48 Hours | < 30 Seconds |
| Accuracy | 91.2% | 99.8% |
| Denial Rate | 18.5% | < 3% |
| Compliance Risk | Elevated | Minimal (Deterministic) |
Technical Architecture
We use a Code-Specific RAG (Retrieval Augmented Generation) pipeline. The agent doesn't just "guess"; it retrieves the exact ICD-10 documentation for any clinical term to ensure 100% auditability.
graph LR
A[Clinical Note] --> B{Agentic Parser}
B --> C[Knowledge Base Index]
C --> D[Code Assigner]
D --> E[Revenue Cycle ERP]
ROI Result
The implementation resulted in a 45% increase in first-pass payment rate within the first 60 days, adding $2.1M in annualized liquidity for our lead partner.