AI governance for Healthcare
Industry · Healthcare
AI governance for healthcare organisations, grounded in real workflows
For healthcare, clinical and administrative AI use must not be treated as one category. The DUBSAR journey is designed to begin with identifiable use, then apply policy only to the selected flows that actually pass through its Gateway.
In 30 seconds
What AI governance means for healthcare.
- Question addressed
- Which healthcare workflow should be controlled first?
- Next decision
- Choose one bounded workflow, name its owner and define its permitted data and provider route.
- Declared limit
- DUBSAR is designed to organise policies and evidence for connected healthcare workflows. The organisation remains responsible for professional, legal, safety and regulatory duties, and must verify the rules that apply in each jurisdiction.
Current DUBSAR status
A sector-specific control approach, not sector certification
DUBSAR is designed to organise policies and evidence for connected healthcare workflows. The organisation remains responsible for professional, legal, safety and regulatory duties, and must verify the rules that apply in each jurisdiction.
AI governance for Healthcare
Clinical and administrative AI use must not be treated as one category
A scheduling assistant, a clinical note summary and a diagnostic support system affect different people and carry very different data and safety consequences.
Health data, free-text notes and outputs that may influence care require a clearly defined purpose, approved route and accountable human role.
AI governance for Healthcare
Separate data protection from clinical authority
A DUBSAR-controlled route is designed to apply the approved data policy and require review. It does not validate clinical safety or replace professional judgement.
- Classify clinical and administrative flows separately
- Minimise patient identifiers before egress
- Restrict models and regions by purpose
- Keep human review visible in the record
AI governance for Healthcare
Start with a bounded administrative workflow
A low-impact administrative use offers a safer place to validate routing, redaction and evidence before any clinically meaningful scenario is considered.
Coverage, data classes and reviewer authority should be explicit; a generic green score must not hide an unassessed clinical risk.
External sources
Check the official sources and current product claims.
Frequently asked questions
What to know before going further.
Does DUBSAR certify AI use for healthcare?
No. DUBSAR is designed to apply policies and organise evidence on connected flows; it does not provide sector certification or legal advice.
Where should a healthcare organisation begin?
With one bounded workflow, a named owner and an explicit list of permitted data, providers and human decisions. Wider coverage should follow only after that route has been tested.
Read next
Continue with another DUBSAR guide.
The portal remains in private testing. These guides explain what DUBSAR is proving — and what it does not yet claim.