Designing the clinical logic an AI runs: conversational workflows, decision points, escalation rules, data capture, and evaluation criteria. Worked through against how the system behaves, not just written down.
Clinical Safety Officer work under DCB0129 and DCB0160. Hazard identification, controls, evidence, and residual risk. Safety designed into the system from the start, not bolted on before go-live.
Translating clinical need into something a team can build, and judging when a feature is ready to go in front of patients. Keeping up in a field where models, regulation, and use cases all move every quarter.
Structured ways to test whether a clinical AI system does what it should and fails safely when it does not. Evaluation criteria, audit methodology, and the documentation that stands up to scrutiny.
I listen first, mapping your clinical context, constraints, and what "safe" means for your specific use case.
I design the clinical logic, safety architecture, and evaluation framework before anything gets built.
I work with your engineers, product team, and clinicians in the build, not reviewing a finished prototype at the end.
I test systematically against the clinical scenarios that matter, and produce the documentation that stands up to scrutiny.
I take on a small number of engagements at a time so I can do the work properly. Here is the kind of team I work best with.
Ready to explore how we might work together? Get in touch for a free 30-minute conversation.
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