Primary Sources
Answer
What Is Trustworthy AI Governance in Healthcare?
Trustworthy AI governance in healthcare is the discipline of ensuring an AI system behaves the way its documentation claims it will, across build, deployment, integration, and maintenance. It requires medicine, engineering, cybersecurity, law, and executive accountability to work as one system rather than five separate reviews. The Trustworthy Technology & Innovation Consortium (TTIC) treats it as an integration problem, not a checklist.
Why It Matters
The gap people are already feeling
Most C-suites and boards, including in healthcare, encounter the gaps in AI governance before they encounter anything that closes them. The collaborative work of behavioral verification, normalized runtime telemetry, and standards translated into working code supplies the missing pieces: evidence that intended behavior can be checked, observed, and defended. That converts diffuse anxiety into a clearer path.
How It Works
Standards to institutional practice
TTIC exists to close the gap between standards being written and standards becoming institutional practice, through a five-stage chain: Standards define what governance requires (IEEE/UL 2933 TIPPSS, ANSI/HSI 2800:2025). Institutional Adoption is when a health system or medtech organization commits a standard into its own governance structure. Operationalization turns the standard into procedure: owned roles, defined controls, a place in the deployment workflow. Evidence is the record that the controls are actually operating, not just documented. Accountability is where boards, executives, and capital markets can act on that evidence with confidence.
TTIC was built to own the seams between disciplines: the six-stage chain of Medicine, Research, Engineering, Cybersecurity, Law & Governance, and Executive Operations.
Evidence and Examples
What this looks like in production
TTIC's own reference implementation is Medigram's Darwin, a governed AI decision platform independently verified at the highest recorded Praxen behavioral score to date. Praxen independently verifies that an AI system behaves the way its governance documentation claims it does; Observra provides normalized runtime telemetry for AI and agentic systems. Both tools were created by Steve Wilson and released open source.
TTIC's Role
We write the standards. We build to them.
“We write the standards. We build to them by example.”
TTIC deploys its standards work across every function required to govern, build, deploy, implement, integrate, and maintain AI across the full lifecycle.
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- Published by
- Trustworthy Technology & Innovation Consortium (TTIC)
- Author
- By Sherri Douville, Founder & Chair, Trustworthy Technology & Innovation Consortium (TTIC)
- Originally published
- Last updated
Provenance: This resource is an original practitioner architecture from the Trustworthy Technology & Innovation Consortium (TTIC), developed to operationalize healthcare AI governance standards into institutional practice. External standards and source materials are cited separately.
Cite this resource
Sherri Douville. “What Is Trustworthy AI Governance in Healthcare?” Trustworthy Technology & Innovation Consortium (TTIC), 2026. https://trustworthytechnologyinnovation.com/answers/what-is-trustworthy-ai-governance-in-healthcare/.