Develop AI

AI deployment fundamentals for medical imaging

RCR's minimum standards for providers to deploy artificial intelligence (AI) solutions in radiology.

AI Digital Regulations Service: Guidance for Adopters

Understand what regulations and best practice principles to follow when adopting your digital health technology.

AI Opportunities Action Plan

Department for Science, Innovation and Technology commissioned an independent AI Opportunities Action Plan which set out recommendations for Government and AI adoption across the economy to boost growth whilst improving products and services. The Plan set out 50 policy recommendations across three broad headings of: Laying the Foundations to Enable AI, Changing Lives by Embracing AI and Securing our Future with Homegrown AI and Securing our Future with Homegrown AI.

Blueprinting FutureNHS Workspace

The Blueprinting programme was established to help NHS organisations deliver quicker and more cost-effective digitisation. You will need a FutureNHS account to login.

Digital Technology Assessment Criteria (DTAC)

NHS England has completed a provisional review of DTAC to consider how the efficiency and efficacy can be improved, hearing evidence and recommendations with industry and NHS providers.

Evidence standards framework (ESF) for digital health technologies

As digital health technologies (DHTs) develop at an increasing pace, we've worked with stakeholders, system partners and thought leaders to develop standards that ensure new DHTs are clinically effective and offer value to the health and care system: the evidence standards framework (ESF).

Good Machine Learning Practice for Medical Device Development: Guiding Principles

27 October 2021: Ten guiding principles that can inform the development of Good Machine Learning Practice (GMLP).

Introduction to AI Assurance

An introductory guide for practitioners interested in finding out how assurance techniques can support the development of responsible AI.

Regulations and guidance for developers

Understand what regulations and best practice principles to follow when developing your digital health technology.

The known lessons for approaching AI

6 March 2025: This report explores five key lessons for NHS leaders, drawing on learnings from past technology implementations to ensure AI delivers real value for patients and staff. By learning from previous implementations, trust leaders can avoid common pitfalls and make smarter decisions about AI adoption.

The Topol Review: Preparing the healthcare workforce to deliver the digital future

The Topol Review explores how to prepare the healthcare workforce, through education and training, to deliver the digital future. It makes recommendations that will enable NHS staff to make the most of innovative technologies such as genomics, digital medicine, artificial intelligence and robotics to improve services.

Using AI to support NHS Resolution with negligence claims prediction

10 May 2021:Exploring how AI might help the NHS to understand and identify risk, preventing harm and saving valuable resources.

Data Lens: a fast-access data search in multiple languages

25 March 2021: 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.