Healthcare AI governance consultant

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.

AccountabilityNamed owners and boundaries
EvidenceClaims matched to use
ChangeGovernance after go-live

Short answer

Who can help with healthcare AI governance?

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 scope Validation alignment claims, reference standard, limitations and evidence refresh triggers Clinical safety AI hazards, DCB 0129, DTAC clinical safety and CSO review Operating model responsibilities before pilot, go-live and post-go-live change Privacy alignment data protection and information governance questions for the right specialist input Public boundary strong authority signals without exposing implementation logic

Related routes

Use the specific page for the specific blocker.

Need AI governance reviewed?

Send the intended use, users, patient group, target NHS setting, evidence so far, governance questions and what decision needs unblocking.

Primary sources