London North West University Healthcare NHS Trust (LNWH) has been ranked in the top 10 nationally in the first round of NHS England’s Elective Care Capital Incentive Scheme, recognising the Trust’s rapid improvement in reducing waiting lists and strengthening elective care performance.
The scheme rewards providers who deliver the greatest progress towards RTT standards, including tackling long waits and reducing overall waiting list size.
LNWH’s achievement is underpinned by an invested programme of improvement. Over the past 12 months, the Trust has partnered with MBI Health on targeted RTT validation projects – including participation in NHS England’s national Validation Sprints – removing thousands of invalid RTT pathways safely and giving staff greater confidence in their data.
Building on this foundation, LNWH has now gone live with ROVA, MBI’s AI-powered automated validation tool, to further accelerate improvements in elective recovery. By applying automated document reading and validation, ROVA reduces reliance on manual processes, improves accuracy, and helps frontline teams focus on patient care. The next of step of the journey will incorporate the Non-RTT waiting list, ensuring patients are never lost.
Anjali Joshi, Deputy Chief Operating Officer at LNWH, said:
“We’re proud to be recognised as one of the most improved Trusts in the country. This is testament to the hard work of our teams in delivering safer, faster care for patients. Our teams have worked hard to reduce waiting lists and deliver faster, safer care for patients. By introducing new approaches, including ROVA automation, we’re giving staff better data, more time, and greater confidence that our waiting lists are accurate.”
Barry Mulholland, Founding Partner, MBI Health, said:
“This recognition is the result of a strong partnership between LNWH and MBI over the past year. We’re delighted to have supported their validation work and to now see the Trust taking the next step with automation. The move to ROVA positions LNWH to accelerate recovery and sustain performance improvements long into the future.”
