By Christoph Lippuner, co-founder and CEO at Semble
The UK healthcare system continues to face significant pressures.
A new report by the Public Accounts Committee has revealed that the NHS is still working towards its goal of reducing patient waiting times, even with substantial investment in recent years.
Simultaneously, AI use, by both clinicians and patients, is rapidly altering care delivery in different ways.
For clinicians, AI holds great potential, cutting through admin, uncovering patterns in data, and giving them more time to focus on direct patient care.
For patients, however, increasing numbers are using it to self-diagnose, which comes with its own issues.
These developments sit within a wider transformation of the healthcare landscape, where preventative and democratised care is becoming an increasingly central focus for many.
Over 2000 patients recently told us what they truly value in their care.
As we move into 2026, understanding these expectations means healthcare professionals can lead the way, shaping experiences that resonate with patients while staying ahead of broader trends.
Here are three key trends to watch in 2026.
1. The ongoing rise of Dr ChatGPT
AI is adding a whole new layer to patient engagement. Our survey shows that one in four already turn to AI for health guidance.
This is perhaps no surprise; before there was Dr ChatGPT there was Dr Google.
But what’s striking is how far this behaviour is going: 30 per cent of patients are now using AI tools to self-diagnose or seek reassurance before speaking to a healthcare professional.
This is a natural response to a system under pressure, but it comes with inherent risks.
AI models like ChatGPT are known to hallucinate and provide inaccurate information.
There have also been many instances of these platforms telling the user what they want to hear and reinforcing their existing beliefs.
When patients act on such information, they might misinterpret symptoms, delay critical care, or suffer from unnecessary anxiety.
It would be understandable, then, for the healthcare sector to push back against patients using AI instead of a doctor. But it’s unrealistic to prevent this behaviour – nor should it be the point.
AI’s use will only grow further. Whether it’s curiosity, anxiety or simply convenience, many patients will be drawn to using AI models, even if they’re receiving continuous medical support.
Therefore, healthcare professionals will need to cohabit with these tools as we navigate a future where digital and human care intersect.
The real challenge will lie in how the sector navigates this new reality safely and responsibly.
2. AI will open up dialogue between clinicians and patients
In 2026, AI will present an opportunity for healthcare professionals to expand their role as trusted experts and build an open dialogue with those they treat.
If a patient arrives with AI-generated suggestions, clinicians shouldn’t dismiss the answers out of hand.
Instead, they have an opportunity to ask questions like: “What were you hoping to learn more about?”, or “Is there anything you think the AI might be right about?”
Patients will need guidance to understand the ways in which generative AI models collate information and how they can lack clinical judgement and contextual awareness.
This could involve reviewing AI suggestions together, outlining where and why certain conclusions fall short, and also noting where they are correct too.
In turn, this dialogue will empower clinicians to address misinformation and understand the patient’s underlying concerns.
Rather than diminish clinical expertise, this approach actually enhances it.
Research has proven that patients who feel heard and respected are more likely to share openly, follow medical advice and return for care. Crucially, this means they are less likely to retreat back into unsupervised online and AI searches.
Of course, dedicating enough time in appointments to prioritise important conversations like education around AI can be tricky.
But AI itself, with tools such as automated scribing, can help remove administrative distractions and empower clinicians to make better use of the time they have.
Above all, it’s an approach that requires a mindset shift: clinicians will need to see AI not as a competitor, but as a part of their dialogue with patients in the room.
Clinicians already ground their care in evidence and context; in the years to come, they will need to translate their patients’ digital findings into that same safe, clinically guided understanding.
3. Proactive patients will underscore the democratisation of healthcare
The more commonplace AI and digital tools become, the more we, as patients, will need to understand how to use them responsibly.
Rather than being passive consumers or overconfident self-diagnosticians, we need to become informed, active participants in care.
This shift mirrors other areas of civic life, where greater participation brings with it a responsibility to educate oneself, consider multiple perspectives, and engage thoughtfully with complex decisions.
Building a truly democratised healthcare environment doesn’t mean decreasing medical authority but rather widening patient participation.
This environment encourages and empowers patients to take active ownership of their health capital, a crucial step towards prevention.
It’s also about recognising that ownership doesn’t centre on control – it comes from engagement and presence.
For clinicians, meeting this evolving expectation means evolving their care in 2026; a shift from mainly a directive role to one that prioritises partnership and stewardship.
The most meaningful changes will come from embracing interoperability and decentralised care models.
By making health data more accessible and democratising access to knowledge and services, we can shift from episodic treatment to continuous, preventative care.
2026 will centre on active participation
Today’s patients are more informed, connected, and proactive than ever.
They expect their healthcare interactions to mirror the ease of digital experiences they come across elsewhere in daily life.
So, in 2026, transparency, accessibility and partnership will be key to fostering a more active foundation for patients to engage with their care.
Clinicians must provide expert guidance, systems that connect, and a model of care that encourages AI-informed questions into a clinical context.
If this approach takes hold, patients will feel more empowered to take an active role in their care, while clinicians will maintain oversight, ensuring decisions remain safe and grounded in trust.
Ultimately, increased participation is what will drive more preventative care.
Healthcare is facing a host of persistent challenges. But with the right mindset, AI can create plenty of opportunities for clinicians to help overcome them.
We hope the latter will be the prevailing story of 2026.
