Now

Clinically, my background is in both emergency medicine and primary care — the two ends of the system where undifferentiated problems arrive first, decisions are made on incomplete information, and the cost of a wrong mental model is measured in patients. That frontline vantage shapes most of what I write.

Reviewing, I work as a medical reviewer — appraising clinical and drug-related content for accuracy, safety, and the kind of nuance that is easy to lose at scale. A growing part of that work is judging medical material that AI has made cheap to generate and expensive to verify: text that is correct sentence by sentence and still unsafe as a whole. Getting that review right is one of the problems I think about most.

Writing, I’m building out essays on healthcare AI, clinical safety, and where the profession is heading — currently thinking about where ambient AI scribes stop and genuine clinical reasoning support would have to begin, and what “safety thinking” should actually look like inside healthtech teams.

Reading, I’m spending time on calibration and uncertainty in clinical decision-making, on how to read evidence without being hypnotised by the abstract, and on how digital-health products fail at the workflow edges rather than in the demo.

If any of this overlaps with what you’re working on — clinical or drug-content review, a healthcare-AI perspective, or commissioned writing — I’m glad to hear from you. See contact.