The NHS faces a significant challenge. By 2025, NHS organisations must transform themselves digitally and operationally to reduce their cost base by at least 1% while achieving 4% improvements in productivity, all while managing rising demand from an aging population. The numbers are stark, however the early results are encouraging.
Between April 2024 and March 2025, NHS acute trusts increased activity by 5.8% while growing costs by only 3%. Productivity grew by 2.7% year-on-year.
This exceeds the government’s 2% target and is significantly above the long-term health productivity average of 0.6%, demonstrating that innovation under constraint is not only possible but is actively happening across the system.
What is the NHS doing differently? The organisation is rethinking how it funds, supports, and prioritises innovation. Innovation is no longer constrained by resource limitations; it’s being directed by evidence of what works. The NHS is learning to do more with less. Not by working harder, but by working smarter, eliminating ineffective practices, and investing selectively in innovations with proven impact.
Three specific strategies are emerging.
Learning from Past Failures
The NHS’s track record on innovation implementation is worth examining. The National Programme for IT, launched in 2002 with an initial budget of £6.2 billion, attempted a top-down digitisation of the NHS but was officially dismantled in September 2011 after failing to achieve its core objectives.
The project ultimately cost British taxpayers more than £10 billion.
By March 2012, the Department of Health reported estimated benefits of just £3.7 billion, which barely half the costs incurred to that point. The failure stemmed from the inappropriateness of a centralised authority making top-down decisions on behalf of local organisations, resulting in a lack of trust from doctors and no demonstrable impact on patient safety.
The New Evidence-First Approach
Today’s approach is different. Instead of funding large business plans upfront, the NHS is demanding proof of impact before scaling investment. This evidence-first philosophy is now embedded in policy and showing results.
AI Technology Pilots Demonstrate the Model:
A major trial led by Great Ormond Street Hospital’s Innovation Unit tested the TORTUS AI-scribing tool across nine NHS sites in London, evaluating over 17,000 patient encounters across hospitals, GP practices, mental health services, and ambulance teams. The results were striking:
These aren’t projections, they’re measured outcomes from real-world projects. Only after documenting these results is broader investment being considered.
Institutionalising Evidence-Based Scaling
The NHS 10-Year Health Plan mandates that organisations redirect at least 3% of annual spend toward service transformation, and this investment must be evidence-driven. NICE has been given expanded powers to identify outdated technologies and therapies that can be removed from the NHS to free up resources for investment in more effective innovations.
From April 2026, NICE’s technology appraisal process will expand to cover devices, diagnostics, and digital products, with initial focus on technologies that meet the NHS’s most pressing needs, such as digital mental health therapies for those on long waiting lists.
The message is clear: earn access to funding through evidence-backed results, not promises and projections. Progress must be measured, documented, and validated before resources flow.
The old innovation model gave teams independence; their own budgets, separate governance, and the freedom to build proprietary infrastructure. The NHS now understands that this approach doesn’t work when resources are constrained and interoperability is essential.
The Scan4Safety Model at Leeds Teaching Hospitals
Scan4Safety at Leeds Teaching Hospitals NHS Trust exemplifies this new approach. Far from being simply a barcode scanning initiative, Scan4Safety is a digital transformation programme that creates an interconnected ecosystem of patient tracking, inventory management, location intelligence, and process automation.
The scale of implementation is substantial:
Systematic Knowledge Sharing Multiplies Impact
What distinguishes Leeds’s approach is their commitment to knowledge-sharing. Mark Songhurst, Programme Manager for Scan4Safety, has received multiple awards for implementing GS1 standards and specifically for sharing knowledge locally, regionally, and internationally. His presentations at national and international conferences have enabled other trusts to learn from Leeds’s experience and avoid common implementation pitfalls.
The impact of this knowledge-sharing is measurable: the entire West Yorkshire Association of Acute Trusts (WYAAT) implemented Scan4Safety across all their trusts, building directly on the success of the Leeds demonstrator site. The University of Leeds is conducting a longitudinal study with the specific goal of identifying and articulating effective practices and lessons learned that would benefit the wider NHS community.
Key principle: Use global standards (like GS1) for data capture to enable interoperability across systems. This cannot be achieved with isolated implementations—it requires the entire healthcare ecosystem to work together. Working collaboratively, we can place nurses at the patient bedside whilst still gathering information, reduce costs of inaccurate information, and enable rapid response in events such as product recalls or infection tracing.
This is the toughest strategy and the most necessary: being willing to stop initiatives that aren’t delivering value, even when they’re politically popular or teams are emotionally invested. The NHS is showing discipline in this area.
Concrete Examples of Resource Reallocation
Agency spending was cut by almost £1 billion in the past year: 31% of the previous year’s spend.
Those savings went toward initiatives with proven impact, such as surgical hubs that enable surgeons to treat more patients per shift through back-to-back procedures, and virtual ward programmes supported by remote monitoring that reduce hospital admissions.
Detailed management information systems now enable NHS organisations to make evidence-based decisions about which innovations to continue, scale, or discontinue. Health Innovation Networks maintain databases of thousands of innovations at different stages.
The NHS has historically struggled to execute large-scale digital transformation strategies, hampered by budget silos, fragmented accountability structures, and inconsistent implementation. Yet the productivity gains achieved in 2024-2025, with healthcare productivity growing by 2.7% year-on-year, far exceeding the government’s 2% target and the long-term average of 0.6%.
This represents more than incremental improvement; it’s evidence that a more disciplined, data-driven approach is taking hold across the service.
The success stories emerging from pioneering trusts like Leeds demonstrate that when innovation is led by frontline practitioners, underpinned by evidence, supported by board-level commitment, and systematically shared across the sector, transformation becomes achievable.
The challenge now is to sustain this momentum, scale these proven approaches across all trusts, and ensure that the lessons learned from early adopters become embedded practice throughout the NHS. The three strategies outlined: evidence-based incremental funding, collaborative infrastructure sharing, and elimination of ineffective practices—provide a blueprint for sustainable innovation under constraint.
The foundations have been laid; what happens next will determine whether these productivity gains mark a temporary surge or the beginning of sustained transformation that secures the NHS for future generations.
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