The NHS has launched its most ambitious surgical artificial intelligence trial to date, deploying Proximie's Intelligence Suite across 104 operating theatres in eight hospital sites in a year-long effort to squeeze more surgical capacity from existing resources. The program, developed in partnership with AWS and Deloitte, aims to demonstrate whether AI-driven operational insights can meaningfully reduce patient waiting times without requiring new facilities or additional staff.

According to Med-Tech Insights, the evaluation will cover more than 20,000 procedures annually across participating sites, capturing and analyzing real-time surgical and operational data to identify bottlenecks and optimize theatre workflows.

Early Results Suggest Meaningful Capacity Gains

While the full-scale evaluation is just beginning, early deployment data from participating NHS trusts suggests the technology may deliver substantial efficiency improvements. University Hospitals Coventry and Warwickshire reported an 8.2% increase in surgical cases, while Barking, Havering and Redbridge University Hospitals NHS Trust achieved a 30% reduction in turnover time between procedures.

Proximie's Intelligence Suite automatically captures surgical and operational data, de-identifies and anonymizes it at source, then applies AI models to generate real-time operational insights. The system is designed to help surgical teams identify workflow inefficiencies without requiring manual data entry or disrupting clinical workflows.

The program's architects believe improved theatre flow could enable one additional surgical case per day per theatre—a capacity gain that would translate to thousands of additional patients receiving timely care across the expanded deployment.

Cloud Infrastructure and Transformation Expertise Underpin Deployment

AWS is providing the cloud and AI infrastructure necessary to securely process the massive volumes of surgical data generated across 104 theatres, while Deloitte is supporting program delivery and transformation efforts. The collaboration reflects the ecosystem approach increasingly required to scale healthcare AI beyond pilot programs into operational reality.

Proximie's Surgical Suite is already accessible in approximately 20% of NHS hospitals, according to the report, giving the company an established footprint upon which to build this expanded evaluation. Nadine Hachach-Haram, Founder and CEO of Proximie, is leading the initiative alongside Kira Levy, Head of Healthcare UK at AWS, and Sara Siegel, Deloitte's Global Health & Human Services Sector leader.

Common Framework Designed to Generate Robust Evidence

The eight participating sites will operate under a common evaluation framework designed to generate robust evidence for potential broader NHS adoption. This standardized approach addresses a persistent challenge in healthcare AI validation: the difficulty of comparing outcomes across different implementation contexts and clinical environments.

For the NHS, the program represents a potential pathway to address surgical waiting lists without capital investment in new operating theatres or increased staffing costs—both of which face significant political and budgetary constraints. If the evaluation confirms early results at scale, the Intelligence Suite could become a template for surgical optimization across the health service's broader network of hospitals.

The year-long timeline will test whether AI-driven operational intelligence can deliver sustained efficiency gains across diverse surgical specialties, patient populations, and hospital contexts—the ultimate measure of whether surgical AI can move from promising pilot to transformative infrastructure.

Sources

  1. Proximie launches largest ever surgical AI evaluation with AWS, Deloitte, and the NHS — Med-Tech Insights