Protect Your Revenue
From Clinical Documentation
to Clean Claims
Coding errors are silently draining your revenue. Medical Copilot identifies coding errors, medical necessity gaps, and payer rule violations before claims are submitted — giving your team the chance to fix issues, not chase denials.
A Full Claim Analysis — In Seconds
Here's what Medical Copilot returns after analyzing a claim. Every service is checked, every gap is flagged, and every suggestion is ready to apply.
| Service / Procedure | CPT | Dx Codes | Result |
|---|---|---|---|
| Office Visit — Est. Patient | 99214 | E11.22, N18.3 | ✓ Clean |
| Diabetic Eye Exam | 92014 | — Missing | ⚠ Gap |
| Kidney Function Panel | 80069 | — Missing | ⚠ Gap |
| HbA1c Test | 83036 | E11.22 | ✓ Clean |
| Urinalysis | 81003 | N18.3, E11.65 | ✓ Clean |
2 services are missing diagnosis codes. Apply AI suggestions to reach a clean claim score.
Revenue Protection at Every Critical Checkpoint
AI-powered review at each stage — not just at submission.
Four Layers of Intelligence, One Seamless Agent
Every capability works together to catch what costs you — before it leaves your system.
Diagnosis & Coding Intelligence
Ensures accurate diagnosis capture and coding completeness across every encounter, reducing missed revenue opportunities.
- ICD-10 code suggestions per service
- CPT/HCPCS code recommendations
- Specialty-specific coding rules
- Coding gap identification
Service Medical Necessity Validation
Validates ordered services against payer rules, policy coverage, and clinical justification to prevent denials before they happen.
- Diagnosis-procedure matching
- Payer coverage verification
- Clinical justification check
- Pre-submission denial prevention
Clinical Documentation Intelligence
Extracts and validates clinical documentation against services and diagnoses, ensuring every claim is fully supported by the record.
- Documentation gap analysis
- Completeness verification
- Audit trail generation
- Appeal support documentation
Voice Intelligence (AVR)
Transforms patient and staff conversations into structured, compliant clinical documentation, automating the intake process.
- Real-time voice transcription
- Structured clinical note generation
- Automated intake documentation
- Compliant record creation
Six Steps From Clinical Note to Clean Claim
Real-time intervention at the point of care — not after the damage is done.
Read the Encounter
Reads encounter notes, patient demographics, and ordered services in real-time.
Identify Gaps
Identifies diagnosis coding and documentation gaps that would cause denials.
Suggest Codes
Suggests codes that match the patient's condition and justify medical necessity.
Validate Services
Validates services against coding rules, payer coverage, and the patient's specific policy.
Flag Before Submission
Flags issues before claim submission — giving your team time to act, not react.
Protect in Audits
Protects you in audits and appeals with full traceability and decision logs.
Built for Enterprise-Grade Healthcare Operations
The infrastructure your revenue cycle team can trust at scale.
Payer-Specific Logic
Custom rules per payer, updated continuously to match changing policies and coverage guidelines.
Real-Time & Bulk Processing
Handles single encounters instantly and massive batch claim runs efficiently — no bottlenecks.
HIS / RCM API Integration
Connects to your existing EHR and RCM systems without replacement or complex migration. Live in 2–4 weeks.
Audit Logs & Traceability
Full decision trail for every AI recommendation ensures compliance, trust, and appeal readiness.
Proprietary AI Models
Purpose-built decision logic trained specifically on medical coding data — not a generic LLM.
Custom Coding Guidelines
Create, edit, and publish your own payer and protocol rules so the AI always reflects your clinical context.
Ready to Protect Your Revenue?
Start with a no-risk pilot on your next 100 claims. No credit card required.
Book a Demo →