Bradford Clinic Scans 32 Skin Lesions Per Session. Up From 24. Triage Efficiency, Not Magic, Obviously.
The dermatology team at St Luke's Hospital in Bradford adopted AI scanning technology in April to examine suspicious skin lesions. Patient throughput rose from 24 to 32 per session. Consultant plastic surgeon Mr Zakir Shariff reports a significant reduction in unnecessary procedures and waiting times.
This demonstrates automated triage augmentation. The AI is not diagnosing cancer independently. It is prioritizing cases so that scarce human specialists spend their time where it matters most. The mechanism is bottleneck reallocation: you use a fast, cheap classifier to sort the queue, then the expensive expert handles only the cases that warrant judgment. That is how you get 33 percent more patients seen without hiring a single additional consultant.
St Luke's Hospital in Bradford, NHS, with consultant plastic surgeon Mr Zakir Shariff reporting measurable improvements in both throughput and unnecessary procedure reduction since April.
- Download a free skin-tracking app such as Miiskin or SkinVision on your phone.
- Photograph a mole or freckle you have been meaning to have checked, following the app's guidance for lighting and distance.
- Review the app's risk assessment and note whether it flags the lesion for priority review. This is the same triage logic Bradford uses, just without the clinical formality. If anything flags, you go see a real dermatologist. Which is the entire point.