Healthcare AI and digital innovation
Healthcare AI, judged from inside a working clinical operation
Clinical evaluation, implementation advice and governance for organisations building or adopting technology in healthcare, informed by AI systems built and operated inside a CQC-registered care business.
Discuss a digital health collaborationStandpoint
Opinion is cheap. Deployment is not.
Much clinical AI advice comes from people who have never had to answer for a system once it is live. I have. I built and operate an AI receptionist handling real inbound and outbound calls in a regulated care setting, and a care management platform used daily to run a service that is inspected. That changes the questions I ask: what happens at three in the morning when a call misroutes, what an inspector wants to see in the call record, and where staff quietly work around a system that adds steps to their day.
Services
What I can help with
- Clinical evaluation of healthcare AI and digital health products
- Responsible AI implementation in clinical settings
- Clinical safety and governance, including escalation design and human oversight
- Digital health strategy and adoption within NHS constraints
- Clinical workflow integration and staff-facing design
- AI-enabled population health management
- Advice to health technology companies on designing for real clinical environments
Principles
What responsible implementation looks like
Clinical safety first
Every automated path needs a human escalation route and a documented failure mode, agreed before go-live rather than after the first incident.
Governance before rollout
A data protection impact assessment, retention rules, processor agreements, and a plain answer to the question 'what happens when it gets this wrong'.
Adoption is the real test
Systems that add steps to a consultation get worked around. Design with the staff who will use it, in the room where they use it.
Claims must match evidence
No system should be described as clinically validated, MHRA-approved or NHS-endorsed unless that is demonstrably true. I apply that standard to my own work too.
Experience
Systems built and operated
Two systems I built and run in a CQC-registered care business. They are available to other providers, but this page is about the experience behind the advice, not a sales pitch.
An AI receptionist
Handles inbound and outbound calls, configured with escalation to on-call staff, and logs every conversation in a form that can be produced as operational evidence.
A care management platform
Rotas, care plans, client records and the evidence trail an inspection asks for, in daily operational use.
Limits
Where I am honest about the limits
My deployment experience is in primary care and social care operations, at the scale of a service rather than a hospital trust. Where a question sits outside that, I will say so, and where a specialist is the better answer, I will say that too.