Question to the Department of Health and Social Care:

To ask the Secretary of State for Health and Social Care, what assessment he has made of the potential impact of AI on (a) hospital waiting times and (b) the number of missed appointments.

Artificial intelligence (AI) technologies have huge potential in improving productivity across the National Health Service by supporting clinicians with faster and more accurate diagnosis, enhancing clinical decision-making about treatment plans, and reducing the administrative burden faced by healthcare staff. The Department and NHS England are developing guidance for the responsible use of these tools and how they can be rolled out to make the day-to-day operations of the NHS more productive.

Patients have been let down for too long whilst they wait for the care they need. Currently, the waiting list stands at 7.48 million, with only 59% waiting less than 18 weeks for treatment. The Elective Reform Plan, published in January 2025, sets out the productivity and reform efforts needed to return to the constitutional standard that 92% of patients wait no longer than 18 weeks from Referral to Treatment. The plan includes exploring opportunities for digital innovation and looking at where these can be adopted more widely to improve patient experience and care. For example, some trusts are using AI as part of their process for waiting list validation in addition to clinical validation, which helps to ensure waiting lists are accurate and up to date as well as enabling more efficient use of clinical time.

Other areas of digital innovation across the NHS include the use of AI prediction that helps prevent missed appointments and maximise clinic utilisation by supporting teams to fill appointments that patients can no longer use. The Elective Reform Plan commits to enhance two-way communication between hospitals and patients and use the results of AI work to predict who will miss appointments to target communications and prevent up to one million missed appointments.