Back to The NHS AI Lab
Explore our guidance, case studies and reports on how AI has been developed and implemented in NHS and care to find out about the challenges, lessons learned and best practice.
Learn about AI and its potential to transform health and care.
Find resources to help you design and build AI solutions that meet the requirements of the NHS and social care.
Understand best practice in commissioning AI and get inspired by learning how organisations overcome challenges they faced adopting AI.
A Buyer’s Guide to AI in Health and Care
This guide sets out important questions you need to consider to make well-informed decisions about buying AI products.
Reporting guidelines for AI clinical trials - the SPIRIT-AI and CONSORT-AI extensions
SPIRIT-AI are guidelines for clinical trial protocols and CONSORT-AI are for clinical trial reports for interventions involving artificial intelligence.
Understanding AI ethics and safety
The Alan Turing Institute's guide for the responsible design and implementation of AI systems in the public sector
A guide to using artificial intelligence in the public sector
This GDS and Office for AI guide sets out rules on ethics and safety for everyone involved in the design, production, and deployment of AI
Guidelines for AI procurement
A summary from the Office for AI of best practice addressing the specific challenges in acquiring artificial intelligence technologies in government
Assessing if AI is the right solution
Guidance from GDS and the Office for AI to help choose the right AI technology for a public sector challenge
Preparing the healthcare workforce to deliver the digital future
The Topol Review outlined recommendations to ensure the NHS is the world leader in using digital technologies to benefit patients
HealthTech Connect is a secure, online database of devices, diagnostics and digital health technologies that are intended for use in the NHS or wider UK health and care system
The Guide to Good Practice for data-driven health and care technology
The guide sets out the behaviours the government expects from those deploying and using data-driven technologies in health and care