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Privacy-First Clinical AI

Clinical Intelligence.
Zero PHI. Full Power.

AIVault is Tech Velocity's Azure-native, FHIR-first clinical AI platform built for healthcare organizations that refuse to compromise between insight and compliance. Patient data never leaves your environment. AI never sees raw PHI. And your clinicians get the intelligence they need to deliver better care.

0
PHI to AI Models
100%
HIPAA Aligned
FHIR
R4 Native
AIVault Clinical AI Platform Dashboard
Azure-Native FHIR R4 HIPAA Aligned De-Identification Dual Interface
Project Overview

The Clinical AI Platform That Keeps PHI Where It Belongs, With You.

Most healthcare AI platforms force a choice between capability and compliance. AIVault eliminates that trade-off — by architectural design, not policy alone.

  • Azure-native FHIR-first infrastructure — built for healthcare from the ground up
  • Privacy Gate de-identifies all data before it reaches any AI engine
  • PHI stays in a secured identity stream — the AI never sees raw patient data
  • HIPAA alignment baked into the architecture, not bolted on after
Healthcare & Clinical Services
Azure-Native, FHIR R4 Core
Privacy Gate + Dual AI Stream
HIPAA, AHDS, SOC 2, Azure Health Data
Clinician Dashboard + Patient Portal
✓ Live & Operational
Platform Pillars

Three Principles. One Platform.

Clinical Intelligence

AI models trained on de-identified clinical data deliver diagnostic support, risk stratification, and outcomes prediction, without ever accessing raw patient identifiers. Insights are re-linked to patient context after processing, in a HIPAA-controlled environment.

Privacy-First Design

PHI de-identification is not a feature. It is the architecture. Every data flow passes through the AHDS Privacy Gate before reaching any AI engine. Token mapping, pseudonymization, and differential privacy are built into the pipeline at the infrastructure level.

Unified FHIR Core

All inputs, including video assessments, physician assessments, clinical notes, and EHR data, are normalized to FHIR R4 resources. Outputs are returned as FHIR-compliant bundles, making integration with any modern EHR system seamless and standards-based.

The Challenge

The Problem & Our Solution

The Problem

Healthcare AI Demands Access to the Most Protected Data in Existence

Most platforms transmit PHI to third-party models — creating compliance exposure that security teams cannot accept.

  • HIPAA, state regulations, and patient trust demand data stay protected
  • Existing tools force security teams to say no to clinical AI
  • Clinical teams lose the intelligence they need to deliver better care
Our Solution

AIVault Separates Identity From Intelligence, By Design

The Privacy Gate splits every stream at the source — the AI processes clinical content, never patient identity.

  • PHI stays in an encrypted, access-controlled identity store
  • De-identified content flows to Azure AI Foundry for processing
  • Clinician sees full picture — AI never sees who the patient is
Data Flow

From Clinical Inputs to FHIR-Ready Outputs

Clinical Inputs
Video Assessment
Mobility, behavior, motor function
Physician Assessment
Physician assessment forms and evaluations
Clinical Notes
Unstructured NLP input
EHR Data
Structured health records
Privacy Gate
AHDS De-ID Layer
PHI removed & tokenized.
Identity stored separately.
Zero PHI reaches AI.
FHIR Outputs
Assessment Results
Assessment results, functional metrics, physician evaluations
Diagnostic Flags
FHIR Condition bundles
Trend Analysis
Longitudinal FHIR reports
Clinical Summary
Auto-generated FHIR documents
Capabilities

What AIVault Delivers

Video-Based Assessment

Capture and analyze patient mobility, behavior, and motor function through video input. AI extracts quantitative clinical signals without storing identifiable footage. Applicable across any specialty.

Physician Assessment Analysis

Standardized physician assessment forms digitized and analyzed by AI across any specialty, from primary care to oncology to cardiology. Functional assessment indexing and automated clinical scoring that removes subjectivity from evaluation.

AHDS Privacy Gate

Every data stream passes through the Azure Health Data Services Privacy Gate. PHI is tokenized and separated before AI processing. Identity data never enters the AI processing zone.

Azure AI Foundry Models

Clinical NLP, image analysis, and risk stratification models run entirely within your Azure environment via Azure AI Foundry. No third-party model endpoints. No data leaving your cloud tenant.

  • NLP for clinical notes
  • Computer vision for video & physician assessments
  • Risk scoring & outcome prediction
FHIR R4 Native Core

All data is stored and exchanged as FHIR R4 resources via Azure Health Data Services. Plug directly into Epic, Cerner, Meditech, and any SMART on FHIR-compatible EHR without custom connectors.

Dual React Interfaces

Two purpose-built React applications: a Clinician Dashboard with full AI insights and audit tools, and a Patient Portal for self-directed assessments and results review, both FHIR-backed.

Architecture

End-to-End Clinical AI Pipeline

1

AHDS Privacy Gate

All clinical inputs enter the Azure Health Data Services Privacy Gate. PHI is identified, tokenized, and routed to the secure identity stream. De-identified content continues to AI.

2

Azure AI Foundry

De-identified clinical content is processed by specialized AI models (NLP, computer vision, risk scoring) entirely within your Azure environment. Zero PHI in this zone.

3

AHDS FHIR Core

AI outputs are structured as FHIR R4 resources and stored in the Azure Health Data Services FHIR server. Results are re-linked to patient identity in the secure environment.

4

Dual React Interfaces

FHIR-backed React applications surface insights to clinicians and patients. All interface queries go through SMART on FHIR authorization, role-based, audited, and compliant.

Privacy Gate

Two Streams. One Unbreakable Boundary.

The AHDS Privacy Gate splits every clinical data flow into two parallel streams. They never merge inside the AI processing zone.

Secure Identity Stream

Protected Health Information

  • Patient name, DOB, MRN, contact data
  • Insurance identifiers and payer codes
  • Location and demographic identifiers
  • Biometric data and facial recognition markers
  • Stored in AHDS with RBAC and audit logging
  • Access requires authenticated clinical authorization
  • Never routed to AI model endpoints
De-Identified AI Stream

Clinical Content for AI Processing

  • Tokenized clinical notes (no patient identifiers)
  • Video mobility & behavioral data (no facial or biometric markers)
  • Standardized physician assessment forms (no patient metadata)
  • Structured FHIR clinical observations
  • Processed entirely in Azure AI Foundry
  • Outputs returned as anonymous FHIR observations
  • Re-linked to patient identity only post-processing
Zero PHI AI Zone

Three AI Engines. Zero Patient Identity.

All AI processing occurs in an isolated Azure environment where PHI cannot exist by architectural constraint, not just policy.

Clinical NLP Engine

Processes de-identified clinical notes to extract diagnoses, medication references, symptom patterns, and clinical indicators. Trained on healthcare corpora with medical terminology understanding. Outputs structured FHIR Observation and Condition resources.

Computer Vision Engine

Analyzes video mobility and behavioral data alongside standardized physician assessment forms for condition-specific markers across all specialties. Operates entirely on anonymized data. No facial recognition, no biometric identification.

Risk Stratification Engine

Aggregates NLP and vision outputs to generate functional assessment indexes, automated clinical scores, and care prioritization flags. All outputs are FHIR-compliant risk assessment resources, ready for EHR integration.

Platform Demo

See AIVault in Action

Live Demo Available
Book a personalized walkthrough of the AIVault platform. See the Privacy Gate, AI pipeline, and clinical dashboards live with your use case.
Book an AI Strategy Call

Want to see the full platform architecture tailored to your clinical workflows?

Impact

Platform Performance Metrics

0
PHI to AI Models

Architectural guarantee: no patient identifiers ever reach AI processing endpoints.

99.9%
Azure SLA Uptime

Enterprise-grade availability backed by Azure Health Data Services infrastructure.

<2s
AI Processing Time

Clinical AI results returned in under 2 seconds for real-time clinical decision support.

100%
FHIR R4 Compliant

All inputs, outputs, and stored data conform to FHIR R4 resource specifications.

We process thousands of clinical records each week. AIVault gives us zero-PHI processing we can actually prove in an audit — not just claim. Our compliance team signed off in two weeks. That never happens.
LP
Dr. Linda Park
Medical Director · Healthcare Clinic, Miami
Compliance

Built for the Most Regulated Environment in Healthcare

AIVault's compliance posture is not a checklist. It is the architecture. Every design decision, from data routing to access control to audit logging, was made with HIPAA, HITECH, and Azure Health Data Services requirements as first-order constraints.

✓

PHI De-identification at Source

HIPAA Safe Harbor and Expert Determination methods applied before any AI processing. No PHI enters the AI zone.

✓

End-to-End Encryption

Data encrypted at rest (AES-256) and in transit (TLS 1.3) throughout the entire pipeline, including identity and AI streams.

✓

Role-Based Access Control

SMART on FHIR authorization enforces clinician, admin, and patient roles. Access to PHI requires explicit authorization scopes.

✓

Complete Audit Trail

Every data access, AI query, and result delivery is logged with immutable timestamps. Ready for HIPAA audit, OCR investigation, and payer review.

Azure Health Data Services

Built on Microsoft's HIPAA-eligible healthcare cloud infrastructure with a signed Business Associate Agreement.

FHIR R4 & SMART

Full compliance with HL7 FHIR R4 specifications and SMART on FHIR authorization framework for EHR integration.

SOC 2 Aligned

Security, availability, and confidentiality controls aligned with SOC 2 Type II requirements for healthcare data handling.

Platform Views

AIVault Interface Gallery

Clinical Dashboard

Clinician Dashboard

AI insights and patient overview interface

⤢
Privacy Gate Architecture

Privacy Gate

Dual-stream data separation architecture

⤢
AI Risk Scoring

Risk Stratification

AI-generated clinical risk scores and flags

⤢
FHIR Analytics

FHIR Analytics

Population-level clinical trend reporting

⤢
Patient Portal

Patient Portal

Self-directed assessment and results access

⤢
Compliance Audit Trail

Audit & Compliance

Complete HIPAA-ready documentation trail

⤢
Business Value

Why Healthcare Organizations Choose AIVault

Compliance Without Compromise

HIPAA compliance is built into the architecture. No policy workarounds, no compliance theater. PHI separation is enforced at the infrastructure level, every time.

EHR-Ready From Day One

FHIR R4 native design means zero custom integration work for Epic, Cerner, or any SMART on FHIR-compatible system. Clinical data flows naturally between platforms.

Azure-Native Security Posture

Built entirely on Azure Health Data Services. Inherits Microsoft's enterprise security, global compliance certifications, and BAA coverage for HIPAA-eligible workloads.

Real-Time Clinical Intelligence

AI results in under 2 seconds means AIVault supports point-of-care decisions, not just retrospective analysis. Clinicians get insight when they need it most.

Patient Trust Preserved

Patients whose data never leaves your environment and never reaches a third-party AI are patients who trust your institution. Privacy-first design is a competitive and ethical advantage.

Scalable Clinical Operations

From 10 assessments a day to 10,000. The platform scales on Azure infrastructure without architectural changes. Add modalities, models, and interfaces as clinical needs grow.

Common Questions

Everything You Need to Know

The compliance questions every clinical team asks before signing off.

Book a Free Call

How is this different from enabling HIPAA mode in ChatGPT?

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A ChatGPT BAA only covers the API contract — patient data still passes through OpenAI's infrastructure. AIVault's Privacy Gate strips and tokenizes all PHI before it ever reaches any AI model. Zero PHI touches any third-party AI system, ever.

How long does clinical deployment typically take?

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4–8 weeks, including IT coordination, EHR integration (Epic, Cerner, Athena), staff onboarding, and compliance documentation. Timeline compresses when your IT team is responsive and EHR credentials are available in week 1.

We already use an EHR — will this disrupt existing workflows?

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No. AIVault uses native FHIR R4 integration. It reads from and writes back to your existing EHR system without replacing anything. Clinical staff continue using the same tools — AI just augments the workflow behind the scenes.

What documentation do we get for HIPAA audits?

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Full audit trail: zero-PHI-to-AI query logs, de-identification verification reports, access logs with timestamps, and BAA documentation — all pre-organized the way a compliance auditor expects to see them.

Deploy AIVault

Clinical AI That Your Legal,
Security, and Clinical Teams All Approve.

Book a free discovery session. We map your current clinical data flows, identify where PHI risk exists today, and show you exactly how AIVault's privacy-first architecture would work in your environment.

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