Claim Scrubbing Software
That Catches Errors
Before They Cost You
Your billers spend hundreds of hours each month fixing preventable claim rejections. Our automated claim scrubbing software reviews every claim against LCD/NCD edits, payer rules, and coding guidelines, then corrects errors before submission. Works inside your existing EHR.
reduction
rate achieved
in Year 1
success rate
Why Clean Claim Rates
Remain Stubbornly Low
You've invested in your EHR. You've trained your team. Yet preventable errors still slip through, and every rejected claim costs you time, money, and momentum.
Hundreds of Staff Hours Wasted Monthly
Your billing staff spends 4+ minutes per claim manually checking edits, verifying codes, and correcting errors, time that should go toward collecting revenue, not preventing denials.
Eligibility and COB Denials Keep Climbing
25%+ of denials stem from eligibility or COB issues that should've been caught pre-submission. Each one requires investigation, correction, and resubmission before timely filing expires.
Clearinghouse Rejections Pile Up
Missing modifiers, incorrect taxonomy codes, invalid member IDs, preventable errors get caught at the clearinghouse and bounce back for manual correction. Each rejection means rework, delays, and a hit to your clean claim rate.
Staffing Challenges Won't Let Up
Experienced billers are retiring. New hires take 6+ months to fully train. Yet claim volume keeps growing. You can't hire your way out of this problem.
Past Automation Projects Failed
You've seen the 6-12 month implementations. The integration nightmares. The vendors who didn't understand revenue cycle. No wonder you're skeptical, but this is different.
Payer Rules Keep Changing
LCD/NCD updates. New modifier requirements. Payer-specific quirks across 800+ plans. No human team can keep up with the constant changes without automation support.
Claim Scrubbing Automation
Built by RCM Experts
These edits were written the way we once wrote worklists, one payer rejection at a time. Nearly three decades of scrubbing claims by hand shaped every rule in here.
Catches every claim error.
Every claim validated against LCD/NCD edits, payer rules, and coding guidelines. Errors caught before submission.
CPT, ICD-10, HCPCS, all validated.
Modifier rules and bundling edits applied per claim, before the clearinghouse.
Real-time validation.
Edits applied per claim in seconds. Hours of biller time reclaimed every month, errors caught before submission.
Cleaner claims, every time.
First-pass up 18 points. Denials down 72%.
AI catches error patterns fast.
Track scrub patterns by payer, code, and modifier. AI flags emerging denial trends before they spread across your claim volume.
Anomaly · Modifier 25 denials up 28% · Payer BCBS ILAutomated Claim Scrubbing
Healthcare Teams Trust
We know which edits genuinely prevent rejections because we used to work them. Most teams see their clean claim rate move within 90 days.
Multi-Billion Dollar RCM Organization
A multi-billion dollar enterprise RCM company with nearly 15,000 employees serving multiple health systems on Epic and other EHRs. Partnered with Innobot to automate eligibility verification, claim scrubbing, payment posting, and clearinghouse rejection correction, achieving results no other vendor had delivered.
reduction achieved
in Year 1
in 120 days
in Year 1
"Our edits were written by people who worked rejections for a living. They are tuned for the payers you actually bill, not a generic rulebook."
From 85% to 99%
clean claim rate.
Industry denial rates hit 11.8% in 2024 and keep climbing, while HFMA's clean-claim benchmark holds at 95% or better. We didn't build claim scrubbing from a vendor pitch deck. We've run revenue cycle operations from the front desk to VP, and we've watched the same LCD/NCD edits, modifier conflicts, and payer-specific rules generate the same denials year after year. Scrubbing automation closes 3 to 8 points of clean-claim rate in the first 90 days, and that's what we tune for.
RCM Expertise First
Our founder has 28+ years in healthcare operations. We understand claim scrubbing workflows, payer behavior, and denial patterns before writing a single line of automation code.
"Build-a-Bear" Customization
Pre-built components for 1,800+ payers, major EHRs, and LCD/NCD rule engines. Assembled to your workflows. You own the source code, not a black-box SaaS subscription.
to Go-Live
6 to 8 Week Implementation
Not 6 to 12 months. We customize proven claim scrubbing frameworks to your workflows rather than building from scratch. Your revenue cycle cannot wait a year.
No Integration Required
AI agents work like your best employees. They log in via RDP/VPN, not API. No Epic IT projects, no Cerner change orders, no 6-month IT queues holding you back.
1,800+ Payers Pre-Mapped
Every major commercial payer, all Medicare MACs, Medicaid, and clearinghouses. We've already built payer rule libraries for them, we just configure for your accounts.
Proven ROI in 90 Days
Cost per touch drops from $18+/hr (manual) to approximately $0.06/touch (automated). Most clients see positive ROI within 90 days. We'll prove it before you commit.
Ready to Stop Leaving
Revenue on the Table?
See how Innobot's Claim Scrubbing automation can work in your specific environment. No pressure, no generic demo, just a real conversation about your challenges.
Common questions about automated claim scrubbing
Does automated claim scrubbing work with my existing EHR (Epic, Cerner, Meditech)?
Yes. Our claim scrubbing software works with all major EHR and practice management systems including Epic, Cerner, Meditech Expanse, NextGen, eClinicalWorks, AdvancedMD, ModMed, athenahealth, and more. Because our AI agents access your system the same way a remote user would (via RDP/VPN), there's no integration or API work required. Your IT team simply creates a user account, and we handle the rest. All PHI stays within your environment.
How long does it take to implement claim scrubbing software in healthcare?
Typical implementation takes 6-8 weeks from kickoff to go-live. This includes 1-2 weeks for process documentation, 2-4 weeks for build and configuration, and 2 weeks for testing and refinement. We move this fast because we've already built claim scrubbing frameworks for multiple EHR systems and 1,800+ payers, we're customizing proven automation to your specific workflows, not building from scratch. Compare this to the 6-12 month implementations typical of other vendors.
What's the ROI of automated claim scrubbing software?
ROI varies by organization size and claim volume, but typical results include: cost per touch reduction from $18+/hour (manual) to approximately $0.06/touch (automated); 4-7 minutes saved per claim on scrubbing tasks; significant denial rate reductions (one client went from 25%+ to 9% eligibility denials); and reduced timely filing write-offs. One multi-location dermatology network achieved $1.16M+ in financial benefit and eliminated 46,000+ hours of manual work in just 6 months.
How does claim scrubbing differ from what my clearinghouse already does?
Clearinghouses like Waystar, Availity, and Change Healthcare perform basic formatting validation, ensuring claims are HIPAA-compliant and contain required fields. Our claim scrubbing software goes deeper: it validates against LCD/NCD edits specific to CPT codes and patient geography, checks payer-specific rules across 1,800+ plans, verifies eligibility in real-time, and auto-corrects common errors like taxonomy codes and ZIP code formatting. Most importantly, our automation can fix errors directly in your EHR, clearinghouses only report them.
What is claim scrubbing software and how does it reduce denials?
Claim scrubbing software automatically reviews healthcare claims for errors before submission to payers. It checks for common rejection causes like missing modifiers, incorrect taxonomy codes, LCD/NCD edit conflicts, and coordination of benefits issues. By catching and correcting these errors pre-submission, you reduce claim rejections, improve first-pass acceptance rates, and minimize the time your billing staff spends on rework. Our automated claim scrubbing has helped clients reduce eligibility-related denials from 25%+ down to 9%.
Can a claim scrubber integrate with existing billing systems without an IT project?
Yes, and this is a key differentiator for Innobot. Our AI agents access your billing system via RDP or VPN, exactly like a remote employee would. There's no API integration, no backend access, and no IT project required. Your IT team creates a user account, and our AI agents handle the rest. This approach works with virtually any EHR or practice management system and means we can go live in 6-8 weeks instead of 6-12 months.
What does a claim scrubber do in healthcare revenue cycle?
A claim scrubber in healthcare scans claims using defined rules and payer requirements, flags inaccuracies (like incorrect codes, missing modifiers, or taxonomy errors), auto-corrects what it can, and ensures claims meet insurer guidelines before submission. This process improves clean claim rates, reduces costly resubmissions, and frees your billing staff to focus on complex denials and appeals rather than preventable errors. Innobot's claim scrubber checks LCD/NCD edits and payer-specific rules across 1,800+ plans.