Claims and Billing Anomaly Detection for a 30-Office Dental Group's Revenue Cycle
Let's Connect
Problem
Revenue leaking through denials
A 30-office dental group in the US Mid-Atlantic was leaking revenue through coding errors, missing attachments, and payer-specific denials caught only after remittances arrived. The central billing team could audit only a small sample of claims by hand, so recurring problems at individual offices ran unnoticed for months and write-offs rose quarter over quarter.
Solution
Claim scoring before submission
We built an anomaly detection layer over the group's practice management and clearinghouse data that scores every outgoing claim against learned patterns by procedure code, payer, provider, and office. Suspect claims are held in a pre-submission work queue with plain-language reasons, while dashboards surface office-level drift in denials, adjustments, and days in accounts receivable.
Measurable Impact
What changed after launch
First-pass claim acceptance rose from 84% to 93% across all 30 offices within 6 months
Denial-related write-offs reduced by 28% year on year after pre-submission anomaly holds
Recurring office-level coding errors flagged within days versus the previous 2–3 month audit lag
Average days in accounts receivable cut from 41 to 29 across the group
Tech & Tools Used
What powered the build
Ready to Build your Dental Healthcare Business with Anomaly Detection
Ask Byte
Ask Byte
Typically replies instantly
just Now
Hi! I'm OrganByte's assistant. How can I help you today?
AI-generated content may be incorrect
