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NHS England - Transformation Directorate
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.
Data Lens: a fast-access data search in multiple languages
A pilot project for the NHS AI Lab Skunkworks team, Data Lens brings together information about multiple databases, providing a fast-access search in multiple languages
Using machine learning to identify patients at risk of long term hospital stays
Case study: Investigating the benefits of artificial intelligence applied to hospital admissions data
AI Award research contract
This document provides the NHSX funding agreement for AI in Health and Care Award Phases 3 and 4.
AI regulation guide: considerations when developing AI products and tools
A guide from the multi-agency advisory service on the importance of the value proposition, determining a product’s intended use, and planning ahead to navigate the path to market.
AI regulation guide: using PICO to generate evidence for AI development
A guide from the multi-agency advisory service on generating the right evidence for your AI product for health and care, and mastering the PICO statement.
Digital Technology Assessment Criteria (DTAC)
The DTAC brings together legislation and good practice. The DTAC helps healthcare organisations assess suppliers to make sure new digital technologies meet our standards. For developers, it sets out what is expected for entry into the NHS
Using AI to identify tissue growth from CT scans
This 12-week artificial intelligence project investigated whether it was possible to identify organs and growths from CT scans and report on any changes to support radiologists.
Improving hospital bed allocation using AI
This 14-week project investigated the AI techniques that could be used to generate options for moving patients in a way that supports the human team to make the best decisions. The project aimed to provide a proof of concept tool.
AI in imaging: resource collection
A collection of resources about the use of medical imaging data in artificial intelligence tools for health and social care.