Question to the Department of Health and Social Care:

To ask the Secretary of State for Health and Social Care, what steps he is taking to promote the adoption of (a) digital technologies and (b) AI to support the transition of healthcare from treatment to prevention.

The National Health Service is already home to world-first digital innovation, with NHS England supporting the rollout of key products, many of which support the shift to prevention and early diagnosis. Examples include the world's first certified autonomous artificially intelligent (AI) diagnostic tool, which can triage patients with suspected skin cancer, as well as digital innovations supporting people struggling with mental health and musculoskeletal issues to gain or remain in employment.

NHS England, the National Institute for Health and Care Excellence, and the Department are developing a rules based pathway (RBP) for medical technology in the NHS. The RBP aims to create a clear, consistent, and efficient process for evaluating and adopting medical technologies, including digital technologies, in the NHS.

The Early Detection using Information Technology in Health, or EDITH trial, announced in February 2025, is backed by £11 million of Government support via the National Institute for Health and Care Research. It is the latest example of how British scientists are transforming cancer care, building on the promising potential of cutting-edge innovations to tackle one of the United Kingdom’s biggest killers.

Between October 2021 and May 2023 funding was invested in a risk-stratification tool to identify women who are at most risk of developing life-threatening and life-altering complications of pre-eclampsia.

Between October 2020 and September 2023, the Department invested £1.9 million in an AI stroke technology, capable of automatically processing acute stroke computed tomography or magnetic resonance imaging scans, which can provide real-time, clinically useful information in the acute stroke setting, leading to faster decisions.

Between October 2020 and September 2021 funding was invested towards generating a toolkit prototype which can automatically generate placental metrics from a 3D-US scan. These can be combined with other known risk factors and blood results to generate a multi-factorial screening test for fetal growth restriction, which is the single most common cause of stillbirth.

The deployment of AI in the NHS is still at a relatively early stage, with many AI tools being used in a research capacity. To address this, the Department is carrying out work, with NHS England, to assess the barriers of safe, ethical, and effective adoption, and improve the way AI tools are deployed and used in the NHS across England.