HEALTHCARE AI VERIFICATION

Become the First Practice
Where AI Never Gets It Wrong.

One mishearing. One hallucination. One wrong prescription or incorrect procedure recommendation — committed to the clinical record before anyone notices. PrimeVitas runs every AI-generated clinical output through a proprietary, patent-pending verification layer before it reaches a clinician. Sub-millisecond. Every time.

BETA — Request Early Access

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sub-1msAvg. verification time

100%Deterministic

0EHR changes required

∞Clinical scenarios verified

THE INDUSTRY'S CONCERN

"High-profile examples of AI hallucinations — including erroneous diagnoses of fictional conditions — have reinforced the need for robust oversight and clinician control."

— Behavioral Health AI Report, ntst.com · 2025

88% of behavioral health organizations are actively adopting AI. Documentation automation is the #1 investment priority. The hallucination problem is not hypothetical — it is structural.

THE PRIMEVITAS ANSWER

The oversight and clinician control the industry is calling for — automated, sub-millisecond, and independent of the AI system generating the output.

✓

Every voice AI note verified before EHR commit

✓

Every AI prescription, dosage, and procedure recommendation verified before it reaches a clinician

✓

Cryptographically signed audit trail on every verification — the explainability executives are demanding

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Zero workflow changes — drops in behind any EHR or voice AI stack

THE SCENARIOS

Four Ways Clinical AI
Gets It Wrong.

These aren't theoretical edge cases. They are structural failure modes of every AI system operating in a clinical environment — scenarios where the AI output looks plausible from the inside, and only an independent verification layer catches the error before it reaches a patient.

⚠ EHR AI DOSAGE ERROR

The EHR AI Recommends the Wrong Dose

An AI-powered EHR system recommends a medication dosage without accounting for a patient's kidney function documented three records back. The AI processed the most recent lab values. It missed the longitudinal pattern. The clinician trusts the recommendation. PrimeVitas catches the contraindication before it reaches the order screen.

🛡 Caught by PrimeVitas · Before order entry · sub-1ms

⚠ AMBIENT VOICE SCRIBE HALLUCINATION

The Voice AI Writes the Wrong Note

An ambient AI scribe listens to a patient encounter and auto-generates the clinical note. It accurately captures the diagnosis — but documents a drug the physician never prescribed, based on a similar conversation pattern in its training data. The note goes into the record. PrimeVitas verifies AI-generated clinical documentation against the verified encounter data before it's committed.

🛡 Caught by PrimeVitas · Before EHR commit · sub-1ms

⚠ BEHAVIORAL HEALTH PLAN CONFLICT

The AI Treatment Plan Contradicts the Diagnosis

A behavioral health platform generates an AI-assisted treatment plan for a patient with a dual diagnosis. The recommended intervention is contraindicated for one of the two conditions — a conflict the AI model's training didn't surface. The care coordinator approves it. PrimeVitas flags the clinical conflict before the plan is finalized.

🛡 Caught by PrimeVitas · Before care plan finalization · sub-1ms

⚠ AI-GENERATED ICD-10 CODING ERROR

The AI Codes the Wrong Diagnosis

An AI coding assistant suggests an ICD-10 code for a complex behavioral health encounter. The code is plausible but clinically incorrect — and triggers a payer audit six weeks later. PrimeVitas verifies AI-generated diagnostic codes against clinical documentation before submission, catching mismatches that cost time, money, and compliance standing.

🛡 Caught by PrimeVitas · Before billing submission · sub-1ms

WHAT WE VERIFY

Six Categories.
One API Call.

Our proprietary medical intelligence architecture verifies across every critical category simultaneously — in a single sub-millisecond window. Complexity doesn't increase latency.

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Medication Safety

Dosage verification, dangerous drug interactions, contraindications, and allergy conflicts — verified against the patient record before the recommendation reaches the order screen.

🎙️

Voice AI Documentation

Ambient scribe output verified against encounter data before committing to the permanent medical record. Hallucinated medications, fabricated diagnoses, and misattributed prescriptions caught at the gate.

📋

Treatment Plan Integrity

AI-generated care plans checked for clinical conflicts, dual-diagnosis contraindications, and protocol alignment — before the care coordinator signs off and the plan becomes the record.

🏥

Diagnostic Code Accuracy

ICD-10 and CPT codes verified against clinical documentation before billing submission — catching mismatches that trigger payer audits weeks or months after the encounter.

⚕️

Clinical Protocol Compliance

AI recommendations cross-checked against evidence-based guidelines and formulary restrictions — verified independently, not by the model that generated the recommendation.

🧠

Behavioral Health Standards

Treatment recommendations verified against DSM criteria, CMS conditions of participation, and state behavioral health regulations — simultaneously, before the plan is finalized.

AMBIENT AI & VOICE SCRIBES

The Voice AI Heard It.
Did It Understand It?

Ambient voice AI is transforming clinical documentation — reducing physician burnout, improving note quality, and accelerating workflows. The technology is real. The productivity gains are real.

But AI that listens and writes is AI that can mishear, misinterpret, and fabricate. A hallucinated medication. A wrong diagnosis code. A missed contraindication. All committed to the permanent medical record before anyone notices.

A clinical note committed to the EHR is a legal document. Errors don't stay in the AI — they become part of the patient record, the billing submission, the care plan, and the liability exposure.

PrimeVitas sits between the voice AI output and the EHR commit. Every AI-generated note, code, and recommendation is independently verified before it becomes part of the record. The clinician's workflow doesn't change. The risk does.

A clinical note committed to the EHR is a legal document. AI that writes without verification is liability without a safety net.

— PrimeVitas Clinical AI Verification Framework

WHAT GETS VERIFIED BEFORE EHR COMMIT

✓ Medications match the verbal encounter

✓ Diagnoses align with documented evidence

✓ No fabricated prescriptions or procedures

✓ ICD-10 / CPT codes clinically accurate

✓ Contraindications and allergy flags surfaced

COMPLIANCE

Built for the Standards
Clinical AI Must Meet.

Our proprietary, patent-pending verification architecture independently verifies AI clinical output against the regulatory frameworks and quality standards governing healthcare AI in the United States.

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HIPAA

Patient privacy safeguards, PHI handling requirements, and minimum necessary standards — verified before any AI recommendation touches protected data.

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HL7 FHIR

Interoperability standards for AI-generated clinical data exchange — format and content verified before transmission to downstream systems and EHRs.

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FDA AI/ML Guidance

FDA's evolving framework for AI/ML-based Software as a Medical Device (SaMD) — PrimeVitas provides the independent audit layer FDA guidance requires for clinical AI systems.

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CMS Conditions of Participation

CMS quality standards for behavioral health and clinical AI — verified compliance before documentation is submitted, protecting reimbursement and accreditation standing.

INTEGRATION

Integrate in
Under an Hour.

One API call. Our proprietary, patent-pending architecture independently verifies AI-generated clinical output and returns the verdict — PASS or FLAG, what failed, why, and a cryptographically signed audit trail — sub-millisecond. No EHR changes. No workflow disruption. Drop-in verification for any clinical AI stack.

POST /v1/medical/review — sub-1ms

THE RECOMMENDATION

💊

Prescribe Metformin 1000mg · Twice Daily

AI-generated clinical recommendation

PATIENT AGE

KIDNEY FUNCTION

Stage 3 CKD

CURRENT MEDS

4 active

ALLERGY FLAG

Sulfa

VERDICT

🚩

FLAG

requires clinical review

sub-1ms

verification time

CKD Stage 3 requires dose reduction to 500mg.
Current recommendation of 1000mg twice daily exceeds safe threshold for renal function. Metformin accumulates in patients with eGFR < 45 mL/min/1.73m². Lactic acidosis risk elevated. Recommended: 500mg once daily with renal function monitoring.

🔐

Audit trail cryptographically signed · confidence 1.0

Submit the Recommendation

Your clinical AI generates a recommendation, note, code, or care plan. One POST to our endpoint. Any language, any platform. No changes to your EHR or clinical workflow.

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Verification Fires

Our proprietary, patent-pending medical intelligence architecture independently verifies the AI output — medication safety, protocol compliance, clinical accuracy — simultaneously, in a single sub-millisecond window. Not through your model. Completely independent.

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PASS or FLAG

You receive a verdict sub-millisecond. PASS with a signed audit trail, or FLAG with the exact issue, what failed, why, and the corrective action — before anything reaches the patient record or billing system.

Become the First PracticeWhere AI Never Gets It Wrong.

Four Ways Clinical AIGets It Wrong.