Patients across North East England and South Yorkshire are getting their X-ray and ultrasound results back faster after NHS England expanded its partnership with Hexarad, a UK radiology technology company whose AI-powered workflow software, OptiRad, is now live across nine sites, including an Integrated Care Board in the North East and the South Yorkshire and Bassetlaw Integrated Care System.
The expansion, reported in July 2026, is one of the more concrete demonstrations this year of AI easing a specific, unglamorous but critical bottleneck in hospital care: the gap between when a patient gets scanned and when a radiologist actually reads and reports on the images.
The Problem OptiRad Is Built to Solve
Hexarad doesn’t make a diagnostic AI that reads scans in place of a radiologist. Instead, OptiRad is workflow intelligence software — it analyzes how a radiology department’s reporting queue is structured, which cases are most urgent, which radiologists have capacity, and where cases are getting stuck, then reorganizes and prioritizes the flow of work accordingly. It sits alongside Hexarad’s existing teleradiology service, which connects hospitals to a wider pool of remote radiologists when local capacity runs short.
The clinical problem is a familiar one across the NHS and in U.S. hospital systems alike: radiologist shortages combined with rising imaging volumes have steadily lengthened the time between a scan being taken and a report reaching the ordering physician, a delay that can hold up diagnosis, emergency department throughput, and treatment decisions for everything from suspected fractures to cancer staging.
Numbers From an Early Deployment
At one NHS trust that adopted OptiRad ahead of this broader rollout, the software increased radiology reporting output by 12% and cut turnaround times by 18%, according to figures reported by Hexarad and NHS-focused trade press. The same trust reported roughly £150,000 in annual savings on outsourced reporting costs — money previously spent sending overflow scans to third-party teleradiology providers — without adding to its radiologist headcount. Those are modest-sounding percentages, but at NHS scale, where individual trusts can process tens of thousands of scans a year, an 18% reduction in turnaround time can mean thousands of patients getting results days sooner.
Why the NHS Is a Testing Ground
The NHS has become an unusually active proving ground for radiology AI and workflow tools in 2026, partly out of necessity: the service faces a well-documented radiologist shortfall relative to demand, and NHS England has been actively encouraging trusts to adopt proven digital tools that can expand effective capacity without commensurate increases in headcount or budget. Hexarad, which closed an £11.2 million growth funding round in 2024, has positioned itself as one of several UK healthtech firms — alongside diagnostic AI vendors focused on image interpretation itself — competing to solve different pieces of the same imaging bottleneck.
What Workflow AI Can’t Fix
Health policy researchers who track NHS technology adoption caution that workflow software like OptiRad addresses queue management and triage prioritization, not the underlying supply problem of too few radiologists relative to scan volume. Critics of a purely software-driven approach argue that without sustained investment in radiologist training and retention, workflow optimization tools can only squeeze so much additional efficiency out of a constrained system before diminishing returns set in — and that some of the reported time savings may reflect a one-time gain from clearing backlogs that won’t repeat as volumes continue rising.
A Wider July 2026 Pattern
The Hexarad expansion arrived amid a broader wave of AI diagnostic news across the NHS and international radiology in July 2026, including reported gains in lesion detection for CT and mammography imaging using newer transformer-based AI models, and several clinical sites deploying urgency-based triage algorithms designed to push high-risk scans to the front of radiologists’ queues. Industry trackers described the month as one of the more active periods yet for AI-driven diagnostics reaching real clinical deployment rather than remaining in pilot studies.
What’s Next
NHS England and Hexarad have signaled the North East and South Yorkshire rollout is part of an ongoing expansion rather than a finished project, with further site additions expected as trusts evaluate results from this deployment. The bigger open question is whether workflow-focused AI tools like OptiRad, paired with actual diagnostic AI that helps interpret images themselves, can meaningfully close the gap between scan volumes and radiologist capacity nationally — or whether they will mainly help the NHS tread water against demand that keeps growing faster than supply.
