Built by a clinician who understands how AI is actually used in healthcare
HealthAI Governance was created to solve a problem seen firsthand in clinical environments: AI adoption is accelerating, but governance is not.
THE PROBLEM I SAW
In real clinical settings:
• AI tools are adopted informally
• Approvals are unclear or undocumented
• Staff are not consistently trained
• Organizations cannot produce audit-ready documentation
This creates risk—for patients, clinicians, and organizations.
Why I built this
As a licensed healthcare professional, I saw a gap:
There was no operational system to:
• Track AI tools
• Standardize approvals
• Train staff
• Maintain compliance documentation
Most solutions were:
• Consulting-based
• Policy-heavy
• Not integrated into workflow
So I built one.
WHAT MAKES THIS DIFFERENT
HealthAI Governance is not:
• A consulting service
• A static framework
• A generic compliance tool
It is:
A system of record for AI use in healthcare
Designed to:
• Enforce governance
• Reduce risk
• Support audit readiness
• Scale across organizations
RESEARCH & FOUNDATION
This platform is informed by ongoing research in healthcare AI safety and governance:
• SAFE-AI Framework (Preprint, DOI)
• AI Message Safety Study (Preprint, DOI)
These insights are built directly into the platform’s design.
WHY NOW
AI is already embedded in clinical workflows.
Regulation, audits, and liability are catching up.
Organizations that implement governance early will:
• Reduce risk
• Improve compliance
• Gain operational control
WHAT’S NEXT
We are currently onboarding early design partners to:
• Validate workflows
• Refine onboarding
• Establish pricing