Industry

AI Governance for Healthcare

Healthcare AI operates at the intersection of patient safety and regulatory compliance. Governance is not optional. It is a patient safety and legal imperative.

The Challenge

Navigating AI risk in Healthcare.

01

AI in clinical decisions without oversight

Machine learning tools in diagnostics, treatment recommendations, and patient triage are being deployed without the governance structures needed to ensure safety, accuracy, and accountability.

02

Patient data privacy in AI systems

AI models trained on or operating with patient data create HIPAA exposure when data handling, access controls, and vendor agreements are not properly governed.

03

FDA scrutiny of AI-enabled devices

The FDA's evolving framework for AI/ML-enabled Software as a Medical Device creates new pre-market and post-market obligations that most healthcare organizations are not prepared for.

How We Help

Discover. Govern. Operate.

01
DISCOVER

We identify every AI system operating across clinical, administrative, and operational functions. We map each system to its patient data exposure, clinical risk classification, and applicable regulatory obligations.

02
GOVERN

We build HIPAA-aligned AI governance policies, clinical AI oversight frameworks, and vendor management controls. We ensure your AI systems meet FDA SaMD requirements and ONC interoperability standards. We build data governance frameworks that define how AI systems interact with protected health information and clinical data under HIPAA requirements.

03
OPERATE

We provide ongoing AI governance operations, including continuous monitoring of clinical AI systems, vendor AI risk assessments, and audit-ready documentation for regulatory examinations and accreditation reviews.

Regulatory Landscape

Frameworks that apply to you.

HIPAA

Health Insurance Portability and Accountability Act requirements covering protected health information in AI training data, inference systems, and vendor relationships.

FDA AI/ML Guidance

FDA's evolving framework for Software as a Medical Device, including predetermined change control plans and post-market surveillance requirements.

ONC Health IT

Office of the National Coordinator standards for health information technology, interoperability, and information blocking applicable to AI systems.

ISO 42001

International standard for AI management systems applicable to healthcare AI governance programs.

NIST AI RMF

NIST AI Risk Management Framework providing a structured approach to managing AI risk in healthcare settings.

Get Started

Ready to govern AI responsibly?

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