By Alfred Olivares, Global Managing Partner, Healthcare & MedTech at HTEC
The NHS, once the envy of the world, is now facing the expectations of a generation raised on instant access and personalised services.
Research from the Independent Healthcare Provider Network shows that half of millennials plan to use private healthcare in the next year, with many citing delays and outdated systems as their reason for opting out of the UK’s public health system.
The NHS risks losing not just patients, but public trust and, ultimately, the funding that sustains it in its ‘payment by results’ model.
Private providers and employers are stepping into the gap, offering fast, convenient and personalised care. However, there remains reason for optimism for the NHS.
The UK government has recognised this need from transformation, proposing a new commission to accelerate AI adoption within the NHS; helping to streamline workflows, reduce administrative burdens, and support clinicians in delivering higher-quality, more responsive care.
The modernisation of the NHS has begun.
The question now lies in how it can execute this mission quickly and effectively, and without undermining its core values of accessibility, equity and care for all.
Augmenting, not replacing, clinicians
AI in healthcare is often mischaracterised as a threat to jobs. In reality, it should be seen as a force multiplier for clinicians, not a substitute.
The recent pilot at Chelsea and Westminster NHS Trust illustrates this: AI is being used to draft patient discharge summaries, extracting information from medical records in minutes rather than hours.
Doctors still review and approve the documents, but the technology removes the administrative bottleneck.
This distinction matters. Every hour spent on paperwork is an hour not spent with patients.
By relieving clinicians of manual administrative tasks, AI enables them to focus on what only humans can do, making nuanced judgements, building trust with patients, and delivering compassionate care.
Far from dehumanising healthcare, AI has the potential to restore its human core by freeing clinicians from bureaucracy and allowing them to dedicate more time to value-driven tasks.
Continuous care for a digital generation
The NHS was built in an era when healthcare was episodic.
Patients sought help when sick, received treatment, and returned home until their next illness.
But today’s patients, especially younger, digital-first, ones, expect continuous, personalised support.
They monitor their health with wearable devices, book services through apps, and expect information to be accessible instantly. Importantly, the benefits of this shift are not limited to younger generations.
Continuous, connected care also has the potential to transform outcomes for a wider pool of patients: people managing chronic conditions, elderly patients, and vulnerable groups who need more consistent support.
Private providers are capitalising on this shift, offering digital-first models of care that combine convenience with continuity.
By rising to meet these expectations, the NHS can strengthen its role at the centre of UK healthcare.
AI-enabled tools, ranging from predictive analytics to personalised treatment recommendations, make it possible to move towards continuous care without overwhelming staff.
By connecting data across primary, secondary and community care, AI can enable proactive interventions, reduce hospital admissions, and deliver the responsiveness that modern patients demand.
This is not about replacing GPs with chatbots.
It’s about using tools such as Ambient Voice Technology and Delphi-2M, which can forecast the risk of more than 1,000 diseases over the next decade, to support clinicians in stepping in earlier and shaping a care system that is proactive, personalised and patient-first.
Overcoming the human barriers
Technology alone will not solve the NHS’s challenges. In fact, the greatest barriers to AI adoption are human, not technical.
Alfred Olivares
Resistance often stems from concerns about workload, training and trust. Clinicians already under pressure may see a new system as one more thing to learn.
Meanwhile, patients worry about data privacy and whether technology will replace rather than support their care.
The NHS’s modernisation is as much about people as it is about technology.
By embedding training, guidance, and thoughtful leadership, AI adoption can enhance both patient safety and staff confidence.
To succeed, AI adoption in the NHS must be framed not as a cost-saving exercise, but as an investment in clinicians and patients alike.
Training and support must be embedded, ensuring staff understand both how to use new tools and how they benefit patient care.
Patients must see AI as something that enhances safety and speed, not something that puts them at risk.
The tipping point
The NHS stands at a tipping point. But this time it is moving deliberately and decisively.
Long a source of national pride and one of the UK’s most significant institutions, it has shown time and again that it can adapt to new challenges.
By embracing AI and beginning to modernise its workflows, the NHS is not only keeping pace with change, but also reaffirming its role as the backbone of equitable, world-class healthcare.
AI is not a silver bullet. But it is a critical enabler of the cultural and operational shift required to bring the NHS into the 21st century.
Done right, it can give clinicians back time, give patients back trust, and strengthen the NHS’s ability to deliver on its founding values in a healthcare landscape that is evolving rapidly.
The NHS’ mission has never changed: to provide care for everyone who needs it.
By embracing AI, the NHS can keep that promise, modernising in a way that honours its legacy and ensures it continues to thrive for generations to come.
