How a busy radiology department serving 850,000 patients transformed their post-imaging workflow, eliminated spreadsheet tracking, and saved £180k annually.
Reduction in Follow-Up Delays
Average closure time dropped from 21 days to 7 days
Fewer Repeat Scans
Prevented 340 unnecessary repeat examinations
Annual Savings
Reduced admin costs and avoided outsourcing
The Trust's radiology department was processing over 180,000 imaging studies annually, with approximately 12% requiring follow-up actions—ranging from repeat scans to specialist referrals.
Their existing process relied on a combination of:
Critical Issues Identified:
The Trust piloted RadAssist AI across their CT and MRI pathways, starting with incidental findings and timed follow-ups.
After six months of operation, the Trust measured significant improvements across all key metrics:
Average time from report to action completion dropped from 21 days to 7 days (67% reduction)
98% of urgent follow-ups now completed within 48 hours
340 unnecessary repeat scans prevented through better tracking and timely follow-ups
Estimated savings: £85k in scan costs + reduced patient radiation exposure
DNA rate reduced from 18% to 11% through proactive SMS/email reminders
156 additional patients attended appointments over 6 months
1.2 FTE admin time saved through automation of tracking and chasing
Staff redeployed to patient-facing booking and support roles
4,200 paper letters eliminated through digital communications
Estimated 2.1 tonnes CO₂e avoided (paper, postage, travel for repeat scans)
"RadAssist AI has transformed how we manage post-imaging follow-ups. What used to take three people juggling spreadsheets is now handled automatically, with full visibility and accountability. We've cleared our backlog, reduced repeat scans significantly, and most importantly, we know nothing is falling through the cracks. It's been a game-changer for patient safety and staff morale."
Dr. Sarah Mitchell
Clinical Lead for Radiology
Large NHS Trust, South East England
The Clinical Lead championed the project from day one, ensuring pathway rules reflected real clinical workflows and securing radiologist engagement.
Starting with CT/MRI incidental findings allowed the team to prove value quickly before expanding to other modalities and pathways.
Dedicated training sessions for booking staff and ongoing support during the first month ensured smooth adoption and confidence in the new system.
Weekly dashboard reviews with the service manager kept the team focused on outcomes and allowed rapid optimization of rules and workflows.
RadAssist AI worked alongside the Trust's RIS and EPR without requiring replacement or major changes, minimizing disruption and technical risk.
Following the successful pilot, the Trust is now:
See how RadAssist AI can help your Trust reduce delays, cut costs, and improve patient safety.
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