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UK AI healthcare regulation set to evolve

A recent legal analysis published by Lexology highlights how the UK’s approach to regulating artificial intelligence (AI) in healthcare is continuing to develop, with further clarity expected in the coming years.

The blog notes that the UK is currently taking a flexible, principles‑based approach, relying on existing regulators, such as the Medicines and Healthcare products Regulatory Agency (MHRA), rather than introducing a single, comprehensive AI law.

In healthcare, this means AI technologies are often governed through existing frameworks such as medical device regulation and data protection law, creating what the article describes as a “patchwork” system that is still adapting to rapid technological change.

The analysis also draws on the published findings from the MHRA’s call for evidence, led by the National Commission into the Regulation of AI in Healthcare. The summary highlights ongoing challenges around clarity in regulatory responsibilities, the need for proportionate oversight, and concerns about transparency, accountability and real‑world implementation of AI tools. It emphasises the importance of a more coherent and adaptable framework that supports innovation while ensuring patient safety, and reflects the perspectives of clinicians, patients and system leaders across the UK.

This call for evidence is intended to address key uncertainties around safety, accountability and implementation, ensuring that AI innovation can continue while maintaining public trust and patient protection.

Overall, the analysis suggests that while the UK remains committed to a pro‑innovation regulatory environment, more detailed guidance and oversight are likely to emerge as AI becomes increasingly embedded in healthcare practice.

Read the full blog below.

Source: What future UK regulation of AI in healthcare looks like now – Lexology

Read the MHRA Call for evidence findings here: National_Commission_into_the_Regulation_of_AI_in_Healthcare_-_Call_for_Evidence_Summary_of_Findings.pdf

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