HAIQ & DDFA Product Architecture

HAIQ is the fairness operating system for clinical AI. Like any operating system, it runs continuously underneath clinical applications to audit decisions in minutes via HL7 FHIR R4.

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The Complete HAIQ Governance Engine

DDFA Vector Graphic - Demographic Parity Audit

DDFA (Data Diversity & Fairness Auditor)

The core auditing engine. Evaluates AI-assisted clinical decisions on demand via HL7 FHIR R4 integration, calculating the Composite Fairness Index (CFI) across demographic matrices.

Explore DDFA Specs →
EAMA Vector Graphic - Radar Governance Assessment

EAMA (Ethical AI Maturity Assessment)

A free, 15-minute self-serve diagnostic that benchmarks institutional AI governance readiness and maps regulatory exposure for executive leadership.

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CRD Vector Graphic - Clinical Relevance Dashboard

CRD (Clinical Relevance Dashboard)

Translates DDFA signals into administrator-ready equity metrics, disparity trend reporting, and executive committee compliance outputs.

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ATET Vector Graphic - Algorithmic Transparency & Explainer Tool

ATET (Algorithmic Transparency & Explainer Tool)

Delivers plain-language point-of-care prompts directly to clinicians when model recommendations diverge for specific patient demographic groups.

Synod Certified Fairness Trust Standard

SCF (Synod Certified Fairness Trust Standard)

A recognized trust standard for hospital networks and commercial AI vendors demonstrating independently verified algorithmic fairness governance.

12-Week Curriculum
Fairness Foundations

Fairness Foundations (FF)

A structured 12-week capacity-building curriculum for healthcare organizations establishing AI governance, including train-the-trainer modules for Equity Champions.

DDFA Architecture & Data Pipeline

How the Data Diversity & Fairness Auditor integrates seamlessly into existing hospital EHR workflows to compute on-demand Composite Fairness Index scores.

DDFA Simplified Architecture Diagram - HL7 FHIR R4 Pipeline

Figure 1: DDFA Middleware Pipeline (Sidecar Historical Audits & HL7 FHIR R4 Point-of-Care Verification).

The Fast Path Capacity Building Engine

Phase 0: Benchmark Readiness

Execute the free EAMA online assessment in Week 1 to identify institutional policy and governance gaps.

Phase 1: The Fast Path Capacity Building Engine

Conduct a 30-Day Preliminary Disparity Report on de-identified historical model logs. Zero IT integration or security review required, rapidly building organizational capacity.

Phase 2: Live Pilot Validation

Deploy on-demand DDFA auditing in a 6-month clinical pilot embedded in a single high-priority care pathway.

Phase 3: Enterprise Foundation

Convert to multi-department enterprise licensing with active CRD reporting and Synod Certified Fairness (SCF) Trust Standard designation.