Healthcare AI consultant · NHS

Clinical AI that
actually ships.

I'm Dr Chiho Song — a practising NHS clinician who builds and deploys clinical AI. I help trusts and digital health teams work out where AI genuinely helps, design it around the clinician, plan its validation, and get it through clinical safety — so it reaches patients instead of stalling in a slide deck.

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9Clinical AI apps built
CSOClinical safety in-house
NHSAdvice from inside the system

In one paragraph

Who and what.

Dr Chiho Song (also written Chi Ho Song) is an NHS clinician and the founder of Spheno Labs, a UK digital healthcare solutions company. As a healthcare AI consultant he helps NHS trusts and digital health teams implement clinical AI safely — clinician-in-the-loop workflow design, validation planning, and the DCB 0129 clinical safety work needed for NHS go-live.


Where I help

From idea to safe deployment.

The model is usually the easy part. The work is the workflow it lives in, the failure modes nobody mapped, and the safety case that lets it go live.

01 — Scope

Where AI actually helps

Honest assessment of where clinical AI pays for itself and where it doesn't. No hype — a working clinician's read on whether the tooling moves a real number.

02 — Design

Clinician-in-the-loop workflow

The AI structures and surfaces risk; the clinician decides. Workflow designed around the consultation, with hard rules above the model and a clear escalation path.

03 — Validate

Validation planning

Define intended use, reference standard, cohort, metrics and acceptance thresholds before any deployment claim is made. Evidence first, marketing second.

04 — Safety

Clinical safety & DCB 0129

Safety architecture and the DCB 0129 / DCB 0160 clinical safety case, prepared and signed off by a contracted Clinical Safety Officer. More on the CSO role →

05 — Build

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.

06 — Govern

Post-deployment governance

Post-market surveillance, incident review and change control so the system stays safe and auditable after it goes live.


FAQ

Common questions.

The role

What does a healthcare AI consultant do?

Helps teams decide where AI genuinely helps, designs the workflow around the clinician, plans validation, and makes sure the system meets clinical safety and regulatory requirements such as DCB 0129 before it touches a patient.

Why a clinician

Why use a clinician as your AI consultant?

The hard part of clinical AI is rarely the model — it's the workflow, the failure modes and the safety case. Advice from a practising NHS doctor who also signs off clinical safety cases is grounded in how care actually runs.

Validation

Can you help validate a clinical AI model?

Yes — validation planning, safety architecture, and the DCB 0129 documentation needed for NHS deployment. No exaggerated performance claims are made on a client's behalf.

Engagement

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 — I'll give you a working clinician's honest read.