Patient Triage AI — UK Hospital Group
A large UK hospital group was facing unsustainable pressure on A&E triage — clinical staff spending disproportionate time on initial patient assessment, leading to delays in care for the most critical cases.
The challenge.
A large UK hospital group was facing unsustainable pressure on A&E triage — clinical staff spending disproportionate time on initial patient assessment, leading to delays in care for the most critical cases.
Live in 3 hospital sites — A&E triage redesigned around AI-assisted prioritisation.
The approach.
AurvikAI built an intelligent triage system that processes patient-reported symptoms, vital signs, and historical data to generate a triage priority recommendation within 90 seconds of arrival. The system is designed as a decision support tool — the clinical team reviews and confirms every recommendation.
The results.
40% reduction in average triage time. Critical cases identified 8 minutes faster on average. Adopted across 3 hospital sites within 6 months of deployment.
Reduction in triage time
Faster critical case ID
Hospital sites adopted
To full deployment
What we used.
Generative AI · Clinical decision support
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