NHS England - Transformation Directorate

NHS AI Lab roadmap

Charting the progress of the NHS AI Lab's work, and key activities from the regulatory bodies we support, to ensure the development and adoption of safe, effective and ethical AI in health and care.

What we're working on

Investigating the potential of AI

We are exploring the opportunities and implications of AI adoption, and evaluating its outcomes.

  • Available now

  • Coming soon

    • Virtual data decision tool will be introduced that will support developers to identify what research consent approvals they require for their research
    • Secure data environment will be established by HRA to enable developers to access data for training where assessment risk is classified as low
    • Evaluation reports on the success of AI technologies in the AI Award programme
    • Develop further Skunkworks proof-of-concept AI tools in collaboration with NHS and public sector
  • On the horizon

    • Continued development of the open source code library on Github for use by wider NHS AI projects
    • Results from the AI Award evaluation, which will help better informed commissioning of AI
    • ARIAS project - evidence to support the commissioning and deployment of Automated Retinal Image Analysis Systems (ARIAS) for widespread use within the NHS Diabetic Screening Programme

Building confidence and demonstrating trustworthiness

We are supporting the adoption of AI by providing learning opportunities to increase confidence and researching ways to minimise the potential risks

  • Available now

  • Coming soon

    • Research findings from a dialogue with patients and the public, exploring approaches to collection, management and use of data
    • Guidance on external validation of AI models, in continuation of G7 work - with MHRA
    • Trial of Algorithmic Impact Assessments (AIAs) based on a model designed with the Ada Lovelace Institute
    • Continued support for AI adoption and upskilling through Skunkworks Deep Dive workshops and capability initiatives
    • A second report identifying educational and training needs for developing workforce confidence in AI
    • Synthetic datasets linked to geolocational data to be made available
  • On the horizon

    • Education and development opportunities from a 3-year knowledge base of Skunkworks AI investigations
    • I-SIRch project - prototype for identifying factors that contribute to adverse maternity incidents involving black mothers and families
    • I-SIRch project - safety recommendations to improve maternity care
    • STANDING Together project - published standards for inclusive and diverse datasets underpinning AI
    • ARIAS project - platform for ongoing evaluation of algorithms for AI Retinal Image Analysis Systems
    • AUDITED project - chatbot optimised to provide advice on sexually transmitted infections to minoritised ethnic populations
    • AUDITED project - guidance and framework for implementing AI chatbots in health and care
    • A “meta-toolkit” for trustworthy and accountable AI (part of trustworthiness auditing for AI)

Clarifying who does what

Helping AI developers, adopters, commissioners and the public to navigate the regulations, guidelines and incident reporting around AI for health and care.

Find out more about the NHS AI Lab