The healthcare AI governance library

From an AI policy
to a working practice.

Healthcare AI governance connects decisions about AI use with accountable people, operating boundaries, and evidence of what happens. These guides help hospital teams make that work concrete.

Start with one workflow. Know who owns it, what it may do, what supports its use, and when to review or pause it.

Two useful places to start.

Know what is running.
And who owns it.

Map a workflow, its owner, access boundaries, review decision, and fallback. See a fictional example before filling in your own inventory.

Build your hospital AI inventory

Worked example + free CSV worksheet. No signup.

Ask for evidence.
Not just assurance.

Separate a vendor response from your own verification. Define the evidence, acceptance criterion, and next owner before a decision.

Review an AI vendor

Worked example + free CSV worksheet. No signup.

Follow the question in front of you.

What are we using?

Inventory the workflow and accountable owner, not just the vendor contract.

What have we allowed?

Distinguish an approval decision from the technical controls that put it into practice.

What would change our decision?

Name the evidence, review triggers, and person who can pause or restart use.

Inventory and ownership

Access, oversight and evidence

Standards and regulatory context

Platform evaluation

Guides are educational resources from Skovos. Regulatory applicability and product capabilities depend on your use case and current source materials; confirm them with your own reviewers.