The Independent Verification Layer for Clinical AI

AIwritesthenote.Weproveit’sright.

Every claim in every AI-generated clinical note, independently verified against the patient's medical record. Before it becomes permanent.

See the Evidence
31%

of AI-generated clinical notes contain at least one hallucination.
50 million notes per month. 15 million with errors. Zero verification.

Works With Every EHR and AI Scribe
Epic
Oracle Health (Cerner)
MEDITECH
athenahealth
eClinicalWorks
Veradigm (Allscripts)
NextGen
DrChrono
Greenway Health
Epic
Oracle Health (Cerner)
MEDITECH
athenahealth
eClinicalWorks
Veradigm (Allscripts)
NextGen
DrChrono
Greenway Health
Abridge
Ambience Healthcare
Nuance DAX
Nabla
DeepScribe
Suki
Freed
Augmedix
Heidi Health
ScribeAI
Abridge
Ambience Healthcare
Nuance DAX
Nabla
DeepScribe
Suki
Freed
Augmedix
Heidi Health
ScribeAI
The Problem

AI scribes are writing millions of clinical notes. Nobody's checking them.

Ambient AI scribes are transforming clinical documentation. But they hallucinate medications. They confuse dosages. They miss allergies. And every error that reaches a patient chart is a liability, a safety risk, and a breach of trust.

Health systems need an independent layer between the AI and the permanent record. Not more AI promises — proof.

$78B
Annual cost of medical documentation errors in the US
46%
Of malpractice claims cite documentation failures
50M+
AI-generated clinical notes per month by end of 2026
The Proof

Numbers that speak for themselves.

0%
Precision

Every flag is a real error. Zero false positives. When Apodixis alerts, your clinicians can trust it completely — no alert fatigue, no wasted time.

0
Error Types Detected

Across 10,000+ notes, 25 specialties, and ages 3 to 80. Medications, allergies, diagnoses, labs, vitals, drug interactions, omissions, and more.

$0.00
per note

The average documentation error costs $12,000 to resolve.

<0s
verification time

Real-time verification that fits into existing clinical workflows without friction.

0
specialties tested

Cardiology to pediatrics. ED to surgery. Validated across the full spectrum of clinical documentation.

Battle-Tested

Comprehensive Coverage.

Six specialized verifiers cross-reference every clinical claim against the patient's EHR via FHIR. Medications, allergies, diagnoses, labs, vitals, drug interactions, omissions, and more.

Dose Mismatch
Hallucinated Med
Sound-Alike Drug
Wrong Allergy
Missed Allergy
Diagnosis Error
Lab Value Error
Vital Sign Error
Age Error
Contraindication
Drug Interaction
Stopped Med
Omitted Med
Omitted Allergy
Omitted Condition
Frequency Error
Laterality Error
Negation Missed
Procedure Error
Weight-Based Dose
Temporal Confusion
Speaker Error
Partial Omission
Cognitive Status
Functional Status
Device Name Error
Remission Status
Lab Trend Error
BP Orthostatic
100% Precision · 0 False Positives · Every flag is a real error
How It Works

Three stages. Full auditability.
Under two seconds.

Extract

The AI-generated note is ingested and every clinical claim is extracted — medications, allergies, diagnoses, vitals, labs, procedures. Each claim is normalized against RxNorm, SNOMED, LOINC, and ICD-10.

1

Verify

Six specialized verifiers cross-check each claim against the patient's EHR data via FHIR. Drug interactions are checked against a knowledge graph. Omissions are detected. Nothing slips through.

2

Report

A severity-weighted verification report with a full evidence chain surfaces every error — ranked by clinical impact. The clinician reviews, the note is corrected, the record stays clean.

3
In Practice

See it in action.

Apodixis Verification Engine
Score:32 / 100

9 claims extracted|6 confirmed|2 contradicted|1 unverifiable
1.3s
Built for Trust

Designed for the most regulated
industry on earth.

Every architectural decision is made with SOC 2, HITRUST, and HIPAA auditors in mind. Compliance isn't a feature we added — it's the foundation we built on.

HIPAA Compliant
SOC 2 Type II
HITRUST Ready
FHIR R4 Native
FDA CDS Exempt
Immutable Audit Trail

The cost of not verifying.

Without Apodixis
Errors reach the permanent record undetected
Clinicians manually review every AI-generated note
No audit trail for AI verification decisions
Liability exposure with every hallucinated claim
~$12,000
average cost per documentation error
With Apodixis
Every claim verified before it's signed
Clinicians review only flagged issues, not every note
Complete audit trail for every verification
Zero false positives — no alert fatigue
$0.35
per note verified

The verification layer
clinical AI needs.

Join health systems building trust in AI-generated clinical documentation. See Apodixis verify your notes in a secure, private demo.