Healthcare AI Governance Consulting

Eunoia Consulting Co. helps hospitals, clinics, and health systems build HIPAA-aligned AI governance frameworks — covering ethics, bias auditing, vendor risk, and regulatory compliance with NIST AI RMF, ISO 42001, and the EU AI Act.

AI Governance Services

• AI Governance Framework Design — policies, accountability structures, and board-level reporting
• HIPAA AI Compliance — ensuring AI systems handle PHI lawfully and securely
• NIST AI Risk Management Framework Implementation — full RMF adoption for healthcare
• Vendor AI Risk Assessment — due diligence on third-party AI tools and EHR integrations
• Clinical AI Deployment Governance — bias auditing, explainability, and safety monitoring
• AI Governance Training — board, clinical leadership, and operational staff
• Shadow AI Detection and Remediation — identifying unauthorised AI use and building safe adoption pathways
• ISO 42001 Readiness — preparing your organisation for international AI management system certification

Who We Serve

Hospitals, health systems, specialty clinics, telehealth platforms, and healthcare technology companies deploying AI in clinical or administrative settings. We also serve veterinary organisations and healthcare technology vendors subject to FDA SaMD guidance.

Why AI Governance Matters in Healthcare

Healthcare AI systems that lack governance create HIPAA liability, patient safety risk, and regulatory exposure. The EU AI Act classifies clinical AI as high-risk, requiring conformity assessments and human oversight. The FDA's AI/ML-based Software as a Medical Device (SaMD) framework imposes additional obligations on clinical decision support tools. NIST AI RMF provides the leading US framework for managing AI risk across the full lifecycle. Eunoia designs governance structures that enable confident AI adoption — not compliance theatre.

Our AI Governance Process

We begin with an AI inventory and risk classification — cataloguing every AI system in use or under evaluation and assessing its clinical impact, data sensitivity, and regulatory exposure. We then design a governance framework tailored to your organisation's size, risk profile, and regulatory obligations. Implementation includes policy development, oversight committee formation, staff training, and ongoing monitoring protocols.

Frequently Asked Questions

What regulations apply to healthcare AI?

Key frameworks include HIPAA (for AI systems processing PHI), NIST AI RMF (the leading US risk management standard), the EU AI Act (for organisations with EU operations or EU-origin AI tools), FDA SaMD guidance (for clinical decision support), and ISO 42001 (the international AI management system standard).

How long does AI governance implementation take?

A foundational AI governance framework can be designed and documented in 6–8 weeks. Full implementation — including training, monitoring systems, and board reporting — typically takes 3–6 months depending on organisational complexity.

What is the NIST AI Risk Management Framework?

The NIST AI RMF is a voluntary framework published by the National Institute of Standards and Technology that provides guidance for identifying, assessing, and managing AI risks. It is structured around four core functions: Govern, Map, Measure, and Manage.

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