Revenue Cycle Automation Enables $210K Annual Cost Savings
for a U.S. Multi-Specialty Medical Group
An AI-powered Revenue Cycle Automation platform delivered a 34% reduction in claim denials, 27% faster collections, and a 312% first-year ROI for a Southeast US medical group with 42 physicians across 6 clinic locations.
Still Chasing Denials Manually?
If your team is managing denials in Excel, losing 11+ hours a week on phone-based prior auth requests, and watching A/R stretch past 50 days — you don't have to stay there.
Transforming massive transaction volumes into secure, AI-verified interactions.
Client at a Glance
A U.S. multi-specialty medical group operating across 6 clinic locations in the Southeast United States with specialties spanning Internal Medicine, Cardiology, Orthopedics, Neurology, and Oncology. The group serves approximately 95,000 patient encounters per year with a payer mix of Medicare 38%, Medicaid 14%, Commercial 41%, and Self-Pay 7%.
Prior to engagement, the group operated a fragmented, largely manual revenue cycle despite a fully deployed Epic EHR.
Overall denial rate of 18.4% — nearly 3× the MGMA benchmark of 6.5%.
Coding accuracy of 81% — well below the 95% industry benchmark.
Prior authorization approval rate of only 68%; 19% of procedures delayed due to auth failures.
Staff spending an estimated 11 hours per week per location on phone-based auth requests.
No real-time visibility into A/R aging, denial trends, or payer performance at leadership level.
The Strategic Challenge
Pre-AI Challenges
Core Objectives
AI Solution Implemented
Intelligent Claim Scrubbing & Denial Prevention
An AI-driven claim validation layer was embedded into the pre-submission workflow. The engine analyzed claims against 2,400+ payer-specific rules in real time, auto-correcting common modifier and coding errors. NLP was applied to surface missing diagnosis codes and ensure ICD-10 specificity.
Clean claim rate improved from 74% to 94% — directly driving denial reduction and shortening the A/R cycle.
Predictive Denial Analytics & Autonomous Follow-Up
A machine learning model trained on 24 months of historical denial data enabled the system to predict denial probability at the point of claim creation. Denied claims were automatically triaged by recovery potential and routed to billing specialists with pre-populated appeal letters.
Reduced manual effort on denial follow-up by 71%.
AI-Assisted Coding & HCC Capture
Computer-assisted coding (CAC) technology was deployed across all specialties using NLP to analyze encounter notes and recommend CPT and ICD-10 codes. HCC capture workflows were built specifically for the Medicare Advantage population.
Coding accuracy improved from 81% to 97% — closing a significant risk-adjustment revenue gap.
Automated Prior Authorization & Real-Time Eligibility
API-based integrations with 28 commercial payer portals enabled automated prior authorization submission and status tracking. Eligibility verification was shifted to an automated T-minus-3-days check, flagging coverage gaps before patients arrived.
Prior auth approval rate improved from 68% to 89% — eliminating phone-based requests for 74% of procedures.
Patient Engagement & Digital Collections
A digital patient financial experience layer delivered itemized, error-validated statements via SMS and email with one-click payment. Automated payment plan enrollment and point-of-service estimate tools were activated at the front desk.
Patient statement errors reduced from 11% to 1.8% — an 84% reduction.
Measurable Outcomes
Our implementation delivered immediate ROI through significant fraud prevention and operational efficiencies.
Every Day of Delay Is Revenue Lost
The average multi-specialty group loses 5–7% of collectible revenue annually to preventable billing errors. For a practice your size, that's hundreds of thousands of dollars — every single year.
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