AI takes aim at one of healthcare’s biggest bottlenecks: the operating theatre

The programme will deploy Proximie's Intelligence Suite across 104 operating theatres, endoscopy suites and catheterisation laboratories, covering more than 20,000 procedures a year.

The ambition is straightforward: find more capacity without building more theatres or requiring clinical staff to work longer hours.

Turning theatre data into actionable intelligence Operating theatres are among the most resource-intensive areas of a hospital, with even small delays between procedures capable of creating significant knock-on effects across the day's surgical schedule.

Proximie's approach is to use AI to identify where that capacity is being lost. The Intelligence Suite automatically captures operational and surgical data during procedures, with information de-identified at source. AI models can then analyse activity across the operative pathway and provide teams with real-time insights into issues such as delays, theatre utilisation and workflow bottlenecks.

Rather than asking surgeons and theatre staff to manually record additional information or alter established processes, the technology is designed to work in the background.

That distinction could prove critical for healthcare AI adoption, where technologies that add complexity to already pressured clinical environments often struggle to move beyond pilot projects.

From AI pilot to health-system scale The NHS programme is also an attempt to tackle one of the biggest challenges facing digital healthcare: scaling technology beyond successful individual pilots. Many healthcare AI projects demonstrate promising results in controlled or single-site environments but struggle to achieve the same impact when introduced across different hospitals, clinical teams and operating models.

The Proximie-led initiative will instead use a common evaluation framework across eight NHS sites, allowing the participants to assess whether improvements can be replicated at scale.

AWS will provide the cloud and AI infrastructure underpinning the programme, allowing data from participating sites to be processed securely without each hospital needing to build extensive new technology infrastructure.

Deloitte will support implementation and organisational transformation, helping NHS Trusts incorporate the resulting insights into their everyday theatre operations.

Early results point to additional surgical capacity Early deployments of Proximie's technology have already indicated the potential for significant operational gains.The company says its Intelligence Suite could help create capacity equivalent to an additional surgical case each day, primarily through improvements in theatre flow and efficiency.

At deployments involving University Hospitals Coventry and Warwickshire and Barking, Havering and Redbridge University Hospitals NHS Trust, Proximie reports an 8.2% increase in cases and a 30% reduction in turnover time. If similar improvements can be reproduced across multiple hospitals, the implications extend beyond technology performance.hey could translate directly into more patients receiving treatment, shorter waiting times and better utilisation of existing healthcare infrastructure.

The next phase of digital healthcare The NHS initiative forms part of a broader push by Proximie to create what it describes as more intelligent, connected operating environments.The company has also been selected as an AI Pioneer by AWS through its Pioneers Project 2026 and is collaborating with NVIDIA on Project Rheo, which explores the convergence of AI, surgical data and healthcare robotics.

The direction of travel is becoming increasingly clear: the next generation of digital healthcare is not simply about digitising medical records or introducing isolated AI tools.

It is about creating data-driven clinical environments where AI can continuously analyse what is happening and help healthcare organisations make better operational decisions in real time.

For the NHS, the immediate prize is particularly compelling. If hospitals can use AI to recover wasted minutes between procedures, improve theatre scheduling and identify operational bottlenecks, they may be able to create meaningful additional surgical capacity without waiting years for new buildings, equipment and workforce expansion.The Proximie programme will now put that proposition to one of its most significant tests yet — across 104 clinical environments and thousands of real-world procedures.The question is no longer whether AI can assist healthcare. It is whether it can help healthcare systems do more with what they already have.