Discover how a 31-provider specialty practice in Illinois transformed its revenue cycle using AI-powered RCM, RPA-enabled billing workflows, and a team of 500+ certified billing specialists delivering a meaningful reduction in denials, faster reimbursements, and measurable revenue improvement within just 60 days.
Chicago Infectious Disease, a 31-provider specialty practice in Illinois, was managing 8,000+ claims per month, but revenue was not keeping pace with clinical output. Despite strong patient volume, the practice faced delayed reimbursements, rising denials, and operational strain. Billing inefficiencies had scaled to the point where administrative workload had significantly outpaced claim throughput, impacting both cash flow and staff productivity.
Denial Rate
Clean Claim Rate
Monthly Revenue
Monthly Revenue
Billing Accuracy
Chicago Infectious Disease was operating at a high clinical capacity, processing 8,000+ claims per month, yet the financial performance did not align with the volume of care delivered.
The practice needed a system that could reduce revenue leakage, stabilize claim flow, and improve predictability in financial outcomes.
As a result: Denial rate reached 16%, clean claim rate was significantly impacted (falling below industry benchmarks), and revenue cycles were delayed, affecting cash flow stability.
Operationally, the burden was equally heavy. A team of 4 billing staff working 5 days a week was fully engaged in claim processing, follow-ups, and payment tracking. This translated into high AR days, slow reimbursements, and continuous revenue leakage, with AR cycles extending beyond industry norms due to manual process inefficiencies.
Denial Rate
Clean claim rate was ~85%, leaving revenue at risk
Real-time payer checks to reduce front-end claim errors
Automated validation before submission to improve clean claim rate
High-volume processing designed for speed and payer compliance
ERA-based reconciliation for accurate financial mapping
A team of 500+ certified professionals ensuring coding accuracy and payer compliance
Connected EHR, EMR, PMS, clearinghouse, and SFTP workflows
Continuous claim tracking to identify delays and prevent silent denials. Leverages data-driven insights to flag issues before submission.
~85%
→
98%
+13% Clean Claim Rate
Weeks 1–2
Eligibility verification and claim scrubbing reduced front-end errors and improved submission accuracy
Weeks 1–2
Eligibility verification and claim scrubbing reduced front-end errors and improved submission accuracy
Weeks 5–6
Day 60
The practice moved from manual, error-prone billing to a streamlined, AI-powered revenue cycle system that improved both financial stability and operational efficiency.
The Result
AR Days
Before
High
After
Stable
Reduced & Stabilized
Denial Rate
Before
16%
After
8–10%
37–50% Decrease
Clean Claim Rate
Before
~85%
After
98%
+13% Improvement
Monthly Revenue
Before
$400K
After
$550K
+$150K/Month
Billing Accuracy
Before
Base
After
+12%
Enhanced Validation
What Actually Made the Difference
By implementing AI-driven automation combined with expert-led RCM execution, Dastify Solutions helped Chicago Infectious Disease convert a high-denial billing cycle into a predictable, efficient, and scalable revenue cycle delivering measurable financial improvement within 60 days.
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