The research by UCLPartners, in collaboration with The Health Foundation, provides the first overview of how AI is being adopted in the NHS in London.
The report, AI in London healthcare: The reality behind the hype, finds:
- AI adoption in London's NHS is in its early stages, with many initiatives still in pilot phases rather than fully embedded into routine care.
- The lack of appropriate digital and data infrastructure is a major barrier to scaling AI solutions. A structured framework for AI implementation is needed to ensure integration with broader NHS digital transformation efforts.
- NHS staff require additional training and leadership support to successfully implement AI in a way that enhances patient care, improves efficiency, and addresses health inequities.
- Greater collaboration between NHS organisations, academia, and industry is needed to accelerate responsible AI adoption, share best practices, and avoid duplication of efforts.
Dr Chris Laing, chief executive at UCLPartners, said: ‘London has the talent, technology, and data to be at the forefront of emerging technologies, but success depends on moving beyond isolated pilots.
‘We know that AI isn't a magic bullet; its value lies in clear purpose and a system-wide approach. It is only by working together, we can turn AI's potential into real impact for patients and staff – thanks to the Health Foundation and all contributors in making this report possible.'
Tim Horton, assistant director (insight & analysis) in the improvement team at the Health Foundation, added: ‘Used responsibly, AI holds huge potential for improving care, increasing efficiency and supporting patients in managing their health. But, as this report shows, a more strategic approach will be needed to realise these benefits.
‘Greater collaboration between the NHS, industry and academia will be vital, as will better training, support and advice for NHS organisations seeking to implement new AI technologies.'
The full report, AI in London healthcare: The reality behind the hype, is available to read here.
