$14.1B
$14.1 billion in improper medicare payments last year.
From clinical NLP analysis and ICD-10/CPT/DRG assignment to NCCI validation, CC/MCC capture, and revenue integrity auditing.
Clinical NLP extracts diagnoses and procedures from notes at 96.7%+ accuracy.
MS-DRG and APR-DRG engine lands the accurate DRG via Medicare grouper logic.
Real-time NCCI PTP checks catch bundling conflicts before claims.
AHIMA/ACDIS-compliant, non-leading physician queries when docs need attestation.
Pre-submission audit screens claims against OIG, RAC, and MAC LCD risk targets.
Real-time dashboard tracks time-to-code, first-pass rate, and CC/MCC capture.
The same documentation gaps that prevent accurate DRG assignment also create audit risk when RAC contractors review the claim.
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Measured live in production deployments, not projected in a pitch deck.
$14.1 billion in improper medicare payments last year.
First-pass claim acceptance rate achieved when AI medical coding replaces manual coding…
Enterprises running Bonami X AI in mission-critical healthcare operations.
Autonomous monitoring with real-time alerts across every workflow.
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The AI Medical Coding Agent connects to leading EHR, computer-assisted coding, and clearinghouse platforms.
Epic EHR integration for inpatient and outpatient medical coding
Oracle Health Cerner integration for ICD-10 and DRG coding
Availity integration for pre-submission claim code validation
athenahealth integration for ambulatory CPT and ICD-10 coding
eClaimLink UAE integration for DHA and HAAD medical coding
Daman UAE integration for clinical coding compliance
Every missed CC/MCC, every unspecified ICD-10 code, every NCCI edit that generates a denial — revenue that existed in the clinical record, lost to a documentation-to-code translation failure.
Book Coding Accuracy Demo
From clinical NLP analysis and ICD-10/CPT/DRG assignment to NCCI validation, CC/MCC capture, and revenue integrity auditing.
Clinical NLP extracts diagnoses and procedures from notes at 96.7%+ accuracy.
MS-DRG and APR-DRG engine lands the accurate DRG via Medicare grouper logic.
Real-time NCCI PTP checks catch bundling conflicts before claims.
AHIMA/ACDIS-compliant, non-leading physician queries when docs need attestation.
Pre-submission audit screens claims against OIG, RAC, and MAC LCD risk targets.
Real-time dashboard tracks time-to-code, first-pass rate, and CC/MCC capture.
Get in touch
Get a live Medical Coding Agent demo on your encounter volume, plus a coding accuracy assessment of CC/MCC capture and NCCI risk.
Clinical NLP reads EHR notes and assigns ICD-10-CM/PCS, CPT, HCPCS, MS-DRG/APR-DRG, and HCC codes for coder review.
It reads negation and uncertainty — "rule out sepsis" codes nothing. Weak documentation is flagged, not guessed.
FPAR is claims paid on first submission. Manual baseline is 71%; Bonami deployments reach 94%+ via clearinghouse data.
It captures only documented CC/MCCs. Undocumented candidates trigger a physician query, never a code.
Yes. Queries follow AHIMA/ACDIS 2019 guidelines — non-leading, evidence-cited, with multiple response choices.
FHIR R4 and HL7 v2 connect Epic, Oracle Health, athenahealth, Availity, Waystar, and UAE eClaimLink.
NLP models are calibrated per specialty — oncology staging, cardiology cath notes, ED E/M levels, ICD-10-PCS technique.
A focused deployment runs 10–14 weeks. Most health systems recover their investment within 4–6 months.
CAC software only suggests codes. Bonami's AI medical coding software assigns and NCCI-validates them end to end.
Yes. This ICD-10 and CPT coding software covers ICD-10-CM/PCS and CPT/HCPCS across inpatient and outpatient settings.
This agent is one of 32 built and maintained by Bonami X AI, our production AI agent division. If you want an agent like this scoped for your own workflow, our AI agent development company team handles discovery, build, integration, and support end to end.