Most clinics lose 18%+ of their revenue to billing failures. Our AI flags pre-auth gaps, denial risks, and coding errors—before you submit.
The agent flags pre-auth and coding issues before submission—no surprises at adjudication.
CPT/ICD-10 checker ensures correct reimbursement on high-value procedures.
Agent alerts admins when claims are left in draft or error status.
The agent drafts, routes, and flags appeal responses instantly—no more 30-day delays or missed opportunities.
The agent monitors all claims and alerts admins when submissions are stalled or incomplete.
Denials are tracked, categorized, and surfaced in trend dashboards—so you can fix root causes proactively.
- Reduces claim denials and submission errors
- Improves cash flow predictability for reinvestment and growth
- Shortens the collections cycle from 60+ days to as few as 12
- Automatically detects missing pre-auths, code mismatches, and payer rule violations
- Eliminates repetitive denial handling and manual follow-ups
- Transforms your billing team into a strategic, insight-driven function
- Identifies and alerts for claims left in draft or error status
- Ensures no claim is forgotten or stalled
- Surfaces recurring issues, payer trends, and process gaps before they cost you
- Preloaded with specialty-specific CPT/ICD-10 logic for high-complexity domains like neurosurgery, orthopedics, and cardiology
- Handles advanced scenarios like bundling, implants, and surgical modifiers
- Co-developed with RCM consultants to ensure relevance and compliance
BitLab specializes in helping medical professionals convert medical insights into compliant, investor-ready healthtech platforms.
and 40+ others
A busy neurosurgery clinic was preparing a patient for a $75,000 spinal fusion procedure. The front desk scheduled the patient, but missed a critical pre-authorization step because the requirement varied by payer and procedure complexity.
The claim was submitted but got denied due to a missing pre-auth. The clinic scrambled to resubmit with supporting documentation, which added 14 days of delay. When reimbursed, the claim was undercoded, and the practice was only paid $60,000. After a 30-day appeal process, they recovered $68,000—still short.
- $7,000 lost revenue
- 44 days delay
- $800 in staff time wasted chasing appeals
The AI would have:
- Detected the payer’s pre-auth requirement at scheduling
- Auto-prepared and submitted documentation before the appointment
- Flagged coding inconsistencies before the first submission
→ Full reimbursement
→ Zero appeal backlog
→ Staff hours reallocated to high-value tasks
A 10-provider clinic processing 800+ claims/month was seeing a 15% denial rate, mostly from minor errors: mismatched ICD-10/CPT codes, unchecked modifiers, and missing NPI fields. Staff were stuck in a denial loop: resubmit, wait, repeat.
- Claims denied for trivial issues
- Appeals backlog growing
- Delayed cash flow affecting payroll
- Staff burnout rising
- ~$20,000/month in delayed collections
- Denial resubmission turnaround averaged 21 days
- 30+ hours/month spent manually correcting rejections
- Each claim is auto-validated for payer-specific formatting
- CPT/ICD-10 pairings are double-checked
- Missing fields flagged before submission
- Denial reasons are parsed and appeals suggested in real time
→ Denial rate dropped from 15% to 6%
→ $16,000+/month recovered
→ 50% fewer hours spent on resubmissions
An orthopedic group’s billing team was surprised to find over 180 claims were never submitted—they were sitting in a "draft" status in their PMS due to system quirks and human oversight. These claims had been sitting idle for weeks.
- $110,000 in claims were never sent to payers
- The PMS offered no real-time alerts
- Aging AR ballooned without anyone noticing
- Thousands in lost or delayed revenue
- Operational chaos trying to retroactively fix the backlog
- Missed payment windows on several claims
- The agent continuously monitored claim statuses
- Triggered alerts for any claims idle >48 hours
- Escalated high-value drafts to billing leads for review
→ 100% of claims submitted within 72 hours
→ Prevented $100K+ in leakage over 3 months
→ Created a proactive, not reactive, billing team culture