Independent Healthcare AI Equity assurance
Is your healthcare AI working equitably for every patient?
EquiAudit provides independent assessments of whether AI tools perform equitably across the demographic, socioeconomic, and geographic characteristics that determine who benefits — and who does not — from healthcare AI deployment, giving health organisations the evidence they need to act with confidence and accountability.
Healthcare AI is advancing faster than equity assurance
AI tools are being deployed at scale across clinical and administrative healthcare settings. Most have never been independently tested for how they perform across different patient populations. The consequences are documented: claims algorithms with documented demographic performance variation, diagnostic tools that underperform for minority patients, and risk scores that systematically disadvantage the uninsured.
The Evidence Is Clear
High-profile failures — from UnitedHealth's claim denial algorithm to Optum's risk scoring tool — show the consequences of deploying AI without independent equity review.
Regulation Is Catching Up
The EU AI Act, FDA guidance, CMS non-discrimination requirements, and state-level legislation are now requiring health organisations to demonstrate equity due diligence. Most cannot.
Independence Is Essential
Internal teams cannot credibly audit themselves. Vendors cannot self-certify. EquiAudit provides the independent expert assessment that regulators, boards, and procurement panels require.
Think of it as IV&V — specifically designed for equity
Independent Verification and Validation (IV&V) is established practice for high-stakes technology in government and defence. EquiAudit applies the same structural independence and rigour to a question IV&V has never addressed: does this AI tool work equitably for every patient it affects?
We assess tools across the full deployment lifecycle — from procurement due diligence to post-deployment monitoring — and map findings directly to FDA, EU AI Act, CMS, and National CLAS Standards. Every engagement produces plain-language findings that boards, compliance officers, and procurement panels can act on.
Healthcare AI works best when it works for everyone
Healthcare AI done well is genuinely transformative. It can extend the reach of clinical expertise to underserved communities, reduce variation in care, and identify patients who need intervention earlier. That outcome is worth pursuing — and worth protecting.
Independent equity assurance is how health organisations protect it. Not by slowing AI adoption, but by validating that the tools being deployed are performing appropriately for the populations they actually serve — not just the populations used to train them.
Health organisations that commission independent assurance before and after deployment are building something more durable than a compliance record. They are building the governance infrastructure that makes long-term, confident AI adoption possible.