In a recent analysis, Siva Anandaciva at The King’s Fund posed a question that captures the impossible situation facing NHS leaders: does the NHS have too few staff or too many? His answer – “both” – reveals a fundamental contradiction. The NHS workforce grew to record levels post – pandemic, yet productivity declined. Trusts face mounting financial pressures whilst simultaneously struggling with vacancies. And now, the government has rejected the 2023 NHS long – term workforce plan as “fiction,” declaring that the 2025 plan will assume significantly fewer staff.
This is an inflection point demanding fundamentally different strategic choices. The government has stated that technology, prevention, and new care models will enable improved care with lower staffing growth. Yet there’s a conspicuous gap: how precisely will this work? The answer is systematic Intelligent Automation deployment – not as a supplementary improvement, but as the essential technology that makes the workforce assumptions underpinning the 10 – year plan viable.
The Impossible Mathematics
NHS staffing increased rapidly after COVID – 19, yet output – measured through A&E attendances and primary care consultations – failed to grow proportionally. Lord Darzi’s investigationstated: “Despite the highest level of hospital employment in the world, there appears to be no problem for which the CQC believes the solution is something other than to add more staff.”
The consequences are real. Manchester’s health system requires significant workforce bill reductions. A recent NHS Providers surveyrevealed over a third of frontline organisations plan to cut clinical posts to balance budgets. Meanwhile, vacancy rates remain substantial and retention challenges persist.
Anandaciva identifies the instability: “It is hard to plan locally when there are so many volte – faces at the national level that create this boom – and – bust dynamic.” The cycle continues because traditional workforce planning tools – training pipelines, recruitment drives, retention initiatives – cannot simultaneously reduce costs whilst maintaining capacity.
Why Traditional Approaches Cannot Work
Training pipelines require years to deliver impact. Medical training takes a decade; nursing programmes span three years. When government declares workforce projections “fiction” and demands different assumptions, training cannot adjust quickly enough. International recruitment faces ethical constraints and Brexit – related limitations. Retention initiatives, whilst crucial, merely preserve existing efficiency levels rather than transforming them.
The impossibility becomes clear: trusts must simultaneously reduce workforce costs, maintain service capacity, address vacancies, and improve productivity – all within training and recruitment pipelines that respond too slowly. Traditional workforce planning cannot square this circle. Technological intervention is the only mathematically viable path.
Technology as the 10 – Year Plan’s Foundation
The 10 – year health plan stakes its workforce assumptions explicitly on technology – enabled transformation. The plan mandates a 2% year – on – year productivity gain. This target cannot be achieved through incremental improvements or exhortations for staff to work harder – staff are already stretched beyond sustainable limits.
As Anandaciva observes, “if the government’s view is that technology, prevention and new models of care will require lower staffing increases than the long – term workforce plan assumed, then that detailed modelling should be spelt out in black and white.” Without systematic automation deployment, the mathematics simply don’t work. Automation isn’t an enhancement to the workforce strategy – it’s the foundational technology that makes the strategy viable.
How Automation Resolves the Paradox
Intelligent Automation transforms the equation from headcount to capability. NHS Transformation Directorate guidanceconfirms that RPA undertakes tasks 4 – 10 times faster than manual processing. This capability multiplication addresses both dimensions of the paradox: it reduces the need for additional hiring whilst multiplying existing staff capability.
Real implementations demonstrate quantifiable impact. Leeds Teaching Hospitals automated waiting list validation, saving approximately 10,500 hours annually – equivalent to 7.5 full – time staff. Calderdale and Huddersfield NHS Foundation Trust’s automation of e – RS referral processing saves 7,000 hours annually whilst delivering £88,369 in annual savings. University Hospitals Sussex utlisied automation technology to save 18 FTE worth of manual admin work with their waiting list management programme.
https://e18innovation.com/automating-waiting-list-validation-for-outpatient-pathways/
These examples illustrate “automated work hours” – capacity that exists independently of headcount, responds immediately to demand fluctuations, and scales without multi – year training lags. Automation enables staff to operate at the top of their professional capability, improving job satisfaction whilst enhancing productivity.
The Strategic Imperative
NHS trusts face critical workforce decisions now. Financial pressures demand action; planning cycles for 2025/26 are underway. These decisions will shape organisational capability for years, yet many trusts use frameworks that predate the 10 – year plan’s technological assumptions.
Trusts cutting posts without automation reduce capability to manage costs – guaranteeing operational crises when demand exceeds diminished capacity. Trusts maintaining staffing without addressing productivity create unsustainable financial positions. Intelligent Automation provides the third option: maintain or grow service capability whilst managing workforce costs appropriately.
This approach directly enables the 10 – year plan’s workforce assumptions. When government declares that technology will enable improved care with lower staffing growth, systematic automation is the “technology” that statement references. Early adopters will demonstrate the operating model the entire NHS must eventually adopt.
The window for strategic advantage is narrow. As more organisations recognise automation’s centrality to workforce sustainability, competition for implementation expertise will intensify. Organisations that delay will watch peers successfully manage workforce costs whilst maintaining capability, yet lack the operational foundation to replicate their approach.
Making the Choice
The NHS staffing paradox cannot be resolved through traditional workforce planning. The government’s 10 – year plan explicitly stakes future sustainability on technology – enabled transformation. For NHS leaders making workforce decisions today, systematic Intelligent Automation deployment is not optional – it’s the mechanism for achieving mandated productivity gains whilst maintaining service capability.
The organisations that act decisively will emerge stronger. Those that delay – through faith in traditional approaches or reluctance to embrace transformation – will face mounting crises as the gap between their operational model and fiscal reality becomes unbridgeable. The mathematics are unforgiving, but the solution is available. The question is no longer whether NHS organisations will automate, but whether they’ll do so strategically and proactively, or reactively and desperately.
