Billient’s AI-powered specialty coding is engineered to detect and prevent revenue leakage by understanding each specialty’s unique terminology, documentation patterns, and MDM rules. Our models analyze complex clinical details across cardiology, orthopedics, primary care, urgent care, and more, identifying missed charges, undercoding, and inconsistent documentation that silently erode revenue. With continuous learning, Billient delivers cleaner, more accurate coding that stops leakage before claims are ever submitted.
Recognizing each specialty’s documentation structure, Billient pinpoints ambiguity and coding gaps that lead to lost reimbursement. Your organization benefits from higher first-pass acceptance, fewer rework cycles, and more revenue captured upfront—with no opportunity left on the table.
1–5% of total revenue Lost by Hospitals
Total estimated revenue loss by many individual healthcare organizations due to coding inaccuracies (undercoding, omissions, miscoding).
11% denied claims on first submission
A large portion of the denied claims stem from coding or documentation mistakes with coding errors the most common reasons.
Why Revenue Leakage Detection is important for Healthcare Organizations?
$36 Billion Yearly Revenue Loss
Up to 30% of submitted claims contain errors
80% of claim denials are avoidable
frequently asked question
How can Billient help identify lost revenue?
Billient can past 12 to 24 months of claims in a matter of minutes to identify Under-coded visits, Missed add-on codes and Incorrect POS codes. AI-Powered Reasoning Delivers Targeted Documentation for appeals.
Can Billient help with payer specific denials?
Yes, Billient’s AI can identify Career-specific underpayments & Patterns in Payer denials.
How can Billient help?
Billient’s AI-powered post-denial analysis exposes coding issues and recaptures dollars payers try to leave behind. This frees up Physicians and Admin staff to treat More Patients, improve outcomes and drive revenue.