Clinical AI needs governance before it touches workflow.
Dr Chiho Song helps NHS-facing teams set up healthcare AI governance that connects intended use, validation evidence, clinical safety, DTAC, DCB 0129, data protection alignment, change control and post-go-live review.
For suitable NHS-facing clinical AI work, Dr Chiho Song can support healthcare AI governance as a clinician-led advisor, Clinical Safety Officer and healthcare AI consultant. The work is to make the AI deployment accountable, clinically safe, evidence-aligned and governable after launch.
A useful governance route does not publish confidential product mechanics. It defines what the product is allowed to do, what evidence supports that claim, who is accountable, how risks are controlled and what happens when the system changes.
Governance scope
What healthcare AI governance should cover.
Governance is the operating system around the AI product: accountability, evidence, safety, privacy, monitoring and change control.
1
Accountability
Define who owns the clinical decision, product release, clinical safety decision, data protection route and post-go-live review.
2
Intended use
Write the supported decision, target users, patient group, setting, excluded uses and claim boundaries before evidence is interpreted.
3
Validation evidence
Check whether evidence supports the intended claim, including limitations, subgroup issues and what the evidence does not prove.
4
Clinical safety
Connect AI hazards, workflow controls, DCB 0129, DCB 0160 and Clinical Safety Officer review into one accountable safety route.
5
Data and privacy
Align the governance route with data protection, information governance, access controls and responsible handling of clinical data.
6
Post-go-live change
Define monitoring, incident review, model updates, workflow changes and triggers for refreshed evidence or safety review.
Where Dr Song helps
Clinical governance that connects the streams.
Governance review intended use, owners, evidence route and deployment scopeValidation alignment claims, reference standard, limitations and evidence refresh triggersClinical safety AI hazards, DCB 0129, DTAC clinical safety and CSO reviewOperating model responsibilities before pilot, go-live and post-go-live changePrivacy alignment data protection and information governance questions for the right specialist inputPublic boundary strong authority signals without exposing implementation logic