Surgical urology group: $305K–$357K in estimated annual savings with AI-powered coding.

The group featured here operates a surgical urology line that accounts for roughly 75% of total chart volume across the practice. Going into October 2025, the coding operation faced four pressures simultaneously — each of which the engagement was scoped to address.

The Challenge column below is from the engagement's pre-deployment scoping. The Solution column describes what RapidClaims delivered.

The Challenge: $400K+ per-year uncaptured revenue — projected annual loss from conservative coding patterns across the surgical urology line. 32 charts per coder per day — one of the lowest productivity benchmarks across specialties. Unspecified ICD codes driving denials — avoidable denials concentrated in high-complexity surgical cases where specificity matters most. 30% national coder shortage — scaling capacity through headcount was not a viable lever.

The Solution: Purpose-built for urology coding — trained on surgical urology workflows, not a generic LLM dropped onto charts. Live in under six weeks — fewer than 500 charts to calibrate before the platform was operating in production. Outsourced coders removed — in-house team now audits exceptions instead of coding every chart. No EHR migration, no disruption — deployed on top of the existing stack, no workflow rewrite.

Annual savings are the sum of two components: revenue recovered through more accurate RVU capture, and operational savings from removing outsourced coder spend and increasing in-house coder productivity.

Between November 2025 and February 2026, the share of encounters proceeding straight to billing without manual coder review climbed from 55.1% to 81%. The industry-typical band for autonomous coding sits between 40% and 60%.

Monthly chart volume processed by the platform rose from 3,561 in November 2025 to 4,839 in February 2026 — a 36% increase. Across the same four months, CPT accuracy stayed above 98% and ICD accuracy crossed the 99% threshold in December and held above it.

Beyond automation and accuracy, the engagement changed the composition of the code set itself. Unspecified ICD codes — the category most associated with avoidable denials — fell by 7%. The share of charts coded with multiple ICDs rose by 4.8%. Single-ICD charts fell by 21%.

Across 30 of 40 providers onboarded, the engagement delivered estimated annual savings of $305–357K, an 81% straight-to-bill rate by February 2026, CPT accuracy of 98.5% with ICD accuracy of 99.4% overall, and a charge lag of 1.89 days — down from 8–10 days pre-engagement. Monthly chart volume grew 36% across the four-month window while accuracy and STB held.

Across 30 providers, RapidClaims delivered $305–357K in estimated annual savings, 81% straight-to-bill, and 98%+ coding accuracy — with charge lag reduced from 8–10 days to 1.89 days, and quality maintained while monthly volume grew 36%.