Diagnostics & Decision Support
AI is changing the speed and accuracy of NHS diagnostics — from stroke detection to radiology triage to dermatology. The strongest deployments share one characteristic: they put a specific clinical decision in front of a clinician faster, with better information.
Hampshire and Isle of Wight ICB doubled the number of stroke patients receiving thrombectomy using Brainomix's AI detection tool. Frimley Health got treatment started 20 minutes faster and treated 15% more patients. Great Ormond Street saw a 23.5% increase in direct patient interaction time using Tortus AI's note-taking tool. University Hospitals Leicester cut urgent dermatology referrals by 30% with Skin Analytics.
Mid and South Essex reduced missed appointments by 30% using Deep Medical's AI prediction — the system identifies who is likely to DNA before the appointment is sent. Chelsea and Westminster reduced falls by 25% using Sensivic's AI audio monitoring, detecting early signs of patient distress.
The pattern across the strongest cases is that AI is not replacing clinical judgment — it is giving clinicians better information at the right moment. The diagnostic question is answered faster. The referral is more accurate. The intervention happens earlier.
Case studies
Written-up examples from UK NHS organisations, with named trusts and measurable outcomes.
Deployed Brainomix's AI stroke detection tool to identify thrombectomy candidates faster across the stroke network, enabling faster treatment decisions for time-critical interventions.
100% increase in the number of patients receiving thrombectomy across the evaluation networks. Hampshire and Isle of Wight ICB was one of four regional networks in the study.
Deployed Tortus AI's clinical note-taking tool to automate documentation during consultations, freeing clinicians from administrative burden during and after patient contact.
23.5% increase in direct patient interaction time. 35% reduction in clinicians feeling overwhelmed by notetaking. 8.2% reduction in appointment length.
Deployed Deep Medical's AI platform to predict which patients are likely to miss appointments — enabling proactive outreach and reducing wasted clinic slots.
30% reduction in missed appointments. Predictive accuracy sufficient to target intervention before DNA occurs.
Also worth reading
Further examples from the Proven Public database — not yet written up in full.