Artificial Intelligence (AI) is becoming a bigger part of the NHS — from helping GPs with diagnoses to supporting overstretched hospital teams. You may already have seen news stories about new technology being used in everyday care. You may have even used AI yourself.
But what does this actually mean for patients? And if something goes wrong, how does this affect a potential clinical negligence claim?
At Nelsons, we understand that this topic can feel overwhelming. So, here is a simple, easy‑read guide on what AI in healthcare might mean for you or your family.
Why are we talking about AI?
Whether we openly admit it or not, most of us already use AI every day – especially tools like ChatGPT to ask:
- “Can you explain this term in simple, everyday language?”
- “Can you help me write or tidy up a message?”
- “Can you help me create a weekly work routine?”
- “Can you summarise this information for me?”
- “Can you give me ideas or suggestions?”
But that’s just day-to-day use. Things get more serious when you look at the news:
- AI turning up in courtroom decisions
- Chatbots accused of encouraging harmful behaviour among vulnerable teens
- Fake technology being used in multimillion-pound corporate scams
- Major privacy breaches involving personal data
AI is quietly weaving itself into almost every corner of modern life. Some people find that exciting; others find it unsettling. But whether we like it or not, the reality is that: AI is already here, and it’s not staying in the background anymore.
And because it’s becoming part of how many professions work, including healthcare, it’s important to understand what that means for patients, safety, and accountability.
This brings us neatly to the NHS…
What does AI have to do with the NHS?
AI in healthcare is being discussed more than ever. One of the major national healthcare events this year — Kennedys’ 2026 Annual Healthcare Seminar Programme — includes dedicated discussions on how developing technologies like AI are influencing clinical practice and patient safety.
This tells us two things:
- Technology is becoming a bigger part of patient care
- Lawyers, doctors and policy‑makers are already thinking about how this affects patient safety
How is the NHS starting to use AI?
AI has only recently started to move from small pilot projects into real‑world NHS use. Between 2025 and 2026, the NHS began shifting from early trials into wider testing across screening services and frontline care — including national‑scale programmes for analysing medical images and new AI tools used in cancer diagnostics.
This means many of the AI tools being used today are part of relatively new initiatives, transitioning from testing stages into everyday clinical practice.
AI isn’t replacing doctors. Instead, it’s used as a tool to support them. For example, AI can help:
- Check symptoms to support earlier diagnosis
- Read X‑rays or scans to help spot issues
- Flag potential medication risks
- GPs prioritise urgent cases
The aim is to help reduce human error, especially in busy areas like GP surgeries or emergency departments.
Could AI help reduce medical mistakes?
Potentially, yes. AI can:
- Pick up symptoms earlier
Late diagnosis is a common reason people contact our team. AI can analyse information quickly and sometimes spot patterns that humans may miss. - Reduce avoidable medication errors
Technology can automatically warn doctors about dangerous drug interactions or incorrect doses. - Support more consistent decision-making
Doctors are only human and decisions can vary depending on experience, workload or environment. AI may help improve consistency, but it should only ever be used as a tool to support clinicians, not the other way around. Clinical judgment must always come first.
But there are also important concerns
AI is promising, but it also creates new challenges:
- Who is responsible if things go wrong?
If a doctor relies on AI and the advice is wrong, who is legally responsible?
This is something the medical and legal worlds are still working through. - Is the technology accurate?
AI is only as good as the data it is trained on. If the information going in is incomplete, biased, or outdated, the output will also be wrong. And unlike a doctor, AI does not pause, reflect, or apply human judgment. It doesn’t “think,” understand nuance, or interpret context – it simply follows patterns fed through it by an algorithm.
In other words: AI is not a human mind. It is not perfect. It can miss things a trained clinician would spot instantly, and it can also make mistakes that no human would logically make. This is why AI should support decision-making, not replace it. - Could clinicians rely on it too heavily?
Technology should help – not replace – good medical judgment. If a clinician follows an AI suggestion without properly checking it, mistakes can still happen. - The risk of patients over-relying on AI
It’s not only clinicians, however, who can rely too heavily on technology – patients can too. With tools like ChatGPT or online AI symptom checkers, it’s easy to fall into self-diagnosis. But AI is not a doctor. It does not understand your personal health, your history, or your symptoms. And sometimes, it can be confidently wrong.
It is easy to foresee situations nowadays where people may trust online AI advice and delay seeking proper medical help. That’s why AI should never replace speaking to a qualified professional about your health.
These issues are being actively discussed at high-level healthcare seminars this year.
Why this matters: the wider picture of patient safety
The discussion around AI also comes at a time when clinical negligence is under significant scrutiny. Recent national reports have highlighted the growing financial impact of avoidable medical errors on the NHS. The National Audit Office’s October 2025 report confirmed that long‑term clinical negligence liabilities are now estimated at around £60 billion, with £3.6 billion paid out in claims last year.
This level of cost has led to renewed pressure to improve patient safety and reduce avoidable harm — and some believe that better technology, including AI, could play a part in achieving that.
What does this mean for patients right now?
The important thing to know is that your rights do not change, even with AI:
- A human clinician is still responsible for your care
- If avoidable harm occurs, you may still be able to pursue a clinical negligence claim
- Technology does not remove accountability
If anything, AI may improve record-keeping and make it easier to understand what led to a mistake, but that is as far as it should go.
Final Thoughts – and How Nelsons Can Help
AI is becoming more visible in healthcare, and it brings real potential to improve patient safety, but it also raises questions about responsibility when things go wrong. If you feel that you or a loved one has suffered avoidable harm, whether AI was involved or not, our Clinical Negligence team at Nelsons is here to help. We can talk you through your options, explain your rights in plain English, and support you every step of the way. You don’t need to know whether AI played a role. You just need to tell us what happened., and we’ll guide you from there.
How we can help?
Victoria Czajka is a Paralegal in our expert Medical Negligence team, which is ranked in Tier One by the independently researched publication, The Legal 500, and Commended in The Times Best Law Firms 2025.
If you require any advice in relation to the subjects discussed in this article, please do not hesitate to contact Victoria or another member of the team in Derby, Leicester, or Nottingham on 0800 024 1976 or via our online enquiry form.
Contact usIf this article relates to a specific case/cases, please note that the facts of this case/cases are correct at the time of writing.