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AI tools in healthcare often work in isolation but stall in practice. Reflections from Oxford's AI in Healthcare event on why implementation, not algorithms, is the real bottleneck – and what primary care research brings to the problem.

Illustrated sketchnote by Scriberia summarising discussions from the patient and public involvement day at the AI in Healthcare event. The hand-drawn visual captures key themes in speech bubbles and vignettes, including 'What is AI?', 'Hospital at Home: Getting it Right', 'The Future of Primary Care', 'Machine Learning and Proteomics for Complex Disease', and public perspectives on communicating AI in healthcare. Logos for the Computational Health Informatics Lab, Department of Engineering Science, Nuffield Department of Primary Care Health Sciences, and the University of Oxford appear at the top. — Visual summary of the event's patient and public involvement day, illustrated by Scriberia. The blog post covers themes from all three days.

Responding to and preventing NHS / health system pressures

We will help the system shift to prevention and accessible, evidence-informed, community-based care, working closely with policymakers so research moves quickly into practice.

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