Clinical AI grounded in
real workflows.
I'm Dr Chiho Song. I help trusts and digital health teams assess where AI could be useful, design clinician-led workflows, plan validation and prepare clinical safety evidence. My work combines NHS clinical experience, clinical safety work and product development through Spheno Labs.
Who and what.
I'm a doctor with NHS clinical experience and the founder of Spheno Labs, a UK digital healthcare solutions company. As a healthcare AI consultant, I help NHS trusts and digital health teams implement clinical AI safely — clinician-in-the-loop workflow design, validation planning, and the AI clinical safety and DCB 0129 work needed for NHS go-live.
Explore NHS implementation and procurement support, clinical AI validation planning or AI medical-device and SaMD route mapping. If you are choosing support, start with the healthcare AI consultant guide.
From idea to safe deployment.
A useful model also needs a workable clinical process, appropriate evidence and clear safety responsibilities. I help teams plan those together.
Where AI actually helps
I assess whether AI addresses a real clinical or operational problem, what benefit is plausible, and how your team could measure it.
Clinician-in-the-loop workflow
The AI structures and surfaces risk; the clinician decides. Workflow designed around the consultation, with explicit safety boundaries and a clear escalation path.
Validation planning
Define intended use, reference standard, cohort, metrics and acceptance thresholds before any deployment claim is made. Evidence first, marketing second.
Clinical safety & DCB 0129
Safety architecture and the DCB 0129 / DCB 0160 clinical safety case, prepared and signed off by a Clinical Safety Officer. AI/SaMD clinical safety support →
Build or buy
Where it makes sense, Spheno Labs can build the system — or deploy from the Sphenoid OS suite. Where it doesn't, I'll say so.
Post-deployment governance
Post-market surveillance, incident review and change control so the system stays safe and auditable after it goes live. Healthcare AI governance →
Common questions.
What does a healthcare AI consultant do?
Helps teams decide where AI genuinely helps, designs the workflow around the clinician, plans validation, and helps the team plan the clinical safety and regulatory work needed before deployment. Specialist regulatory advice may also be required.
Why use a clinician as your AI consultant?
Clinical AI needs model expertise alongside workflow design, validation and clinical risk management. Advice from a doctor with NHS clinical experience who also works on clinical safety cases is grounded in how care actually runs.
Can you help validate a clinical AI model?
Yes — validation planning, safety architecture, and the DCB 0129 documentation needed for NHS deployment. For AI/SaMD hazard analysis, see AI clinical safety support.
Can you help with AI as a medical device?
For suitable NHS-facing AI products, I can help align intended purpose, validation, clinical safety, DCB 0129, DTAC and governance. Use the AI medical-device route page.
How do we start?
Send a short note describing the problem, the setting and the timeline. The first conversation is an honest read on whether AI is the right tool at all. Get in touch →
Have a clinical AI project in mind?
NHS trusts, R&D leads, transformation teams and digital health founders. Tell me the problem and the setting, and I'll help you assess the next step.