Medical Doctor · Clinical AI Architecture · Safety · Governance
I turn complex clinical knowledge into safer, governable AI systems.
I help healthcare organisations understand and demystify how they make decisions—so they can apply AI effectively and safely, while retaining ownership of the knowledge that makes them distinctive.
01 /The approach
From fragmented knowledge to governed output.
How a clinical decision becomes something an organisation can defend — the argument this site exists to make, in one diagram.
01
Information arrives fragmented
Guidelines, results, notes and unwritten habits come from every direction — no single source holds the decision.
02
The decision structure becomes visible
Mapping how the decision is actually made turns scattered inputs into an explicit structure.
03
Knowledge separates into kinds
Explicit evidence, tacit judgement, and the gaps nobody wrote down — each named, none hidden.
- Explicit — authoritative, documented
- Tacit — held by people
- Missing — known gaps
04
Provenance and uncertainty attach
Every element carries its source, its confidence and its acceptable variation.
05
Governance filters unsafe paths
Controls halt what cannot be defended. Only paths that pass the gate continue.
06
A governed output emerges
Not just an answer — an answer with a defensible route behind it.
07
You can always ask why
Inspect the output and the system shows its reasoning: sources, confidence and the controls it passed.
Select the output node to trace it.
02 /What I do
Four connected practices.
Understand your decisions. Govern your AI. Own your Alpha.
Clinical and knowledge architecture
Map how decisions are made and turn clinical reasoning into structures that teams and AI systems can use.
Clinical-AI safety and governance
Define intended use, hazards, controls, provenance, uncertainty, oversight and evaluation.
Digital clinical safety
Safety-management planning, hazard logs, incident processes and deployment gates for clinical digital systems — built on NHS digital clinical-safety training.
Product strategy and delivery
Move from clinical problem through discovery, architecture, implementation, evidence and adoption.
03 /Research
Patented thinking, honestly framed.
Co-inventor of a published UK patent application for a medical-imaging method: reconstructing three-dimensional vascular anatomy from two-dimensional ultrasound. My contribution spanned the initial concept, system and research architecture, methodology, model deployment and synthetic-data production.
A clean-room technical demonstration built entirely on synthetic and public data is in development for the Laboratory section of this site.
- UK application
- GB2416877.5
- UK publication
- GB2702377A
04 /Availability
Selected opportunities.
Available for selected employment, advisory and collaboration opportunities in clinical-AI strategy, product architecture, synthetic evaluation, safety and governance.