AI in practice

NHS England Ambient Voice Technology (AVT) Supplier Registry

A national self-certified registry of AVT suppliers to support and accelerate local procurement and assurance activities to support for NHS organisations in adoption and scaling. This includes a list of self-certified suppliers, and a resource library. Published 16 January 2026.

Artificial Intelligence Education and Skills within NHS Wales Landscape review

An evaluation of the current state of Artificial Intelligence (AI) education in AI skills and literacy across the healthcare workforce. Published 6 January 2026

Data and AI Ethics Framework

Guidance for public sector organisations on how to use data and data-driven technologies responsibly. Published 18 December 2025.

Artificial Intelligence (AI) in Pharmacy

Royal Pharmaceutical Society policy to outline the opportunities, challenges and potential applications of artificial intelligence (AI) within pharmacy now and in the future. Published 2025.

Guidelines for AI procurement

A summary of best practice addressing specific challenges of acquiring Artificial Intelligence technologies in government.

Guidance for Anonymisation

Updated guidance for all organisations that want to anonymise personal data and identify the issues which should be considered to effectively use anoymisation techniques. Updated March 2025.

Guidance on the Impact Evaluation of AI Interventions

Guidance on the impact evaluation of AI interventions, complementing HMT's Magenta Book (guidance on evaluation more broadly). Updated July 2025.

Guidance on the use of AI-enabled ambient scribing products in health and care setting

This guidance outlines key considerations for NHS technology leaders implementing ambient scribing products across health and care settings in England. Ambient scribing products, when combined with generative Artificial Intelligence (AI), can convert speech directly into structured medical documentation, such as notes and letters. The products are sometimes referred to as ambient scribes or AI scribes and include advanced ambient voice technologies (AVTs) used for clinical or patient documentation and workflow support. Published 2025.

Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations

The STANDING Together recommendations aim to encourage transparency regarding limitations of health datasets and proactive evaluation of their effect across population groups. We hope that adoption of the STANDING Together recommendations by stakeholders across the AI health technology lifecycle will enable everyone in society to benefit from technologies which are safe and effective. Published January 2025.

Tech to save time: how the NHS can realise the benefits

Drawing on the Health Foundation’s own research and a rapid evidence review by The Evidence Centre, this analysis explores situations where health technologies have had no or negative impact on staff time and investigates why. Published February 2025.

Guidance and case studies for teams adopting AI technologies in the public sector (Ai.Gov.uk knowledge hub)

Guidance and case studies for teams adopting AI technologies in the public sector.

GP mythbuster 109: Use of artificial intelligence (AI) in GP services

14 July 2025. Using artificial intelligence (AI) in general practice has potential benefits for delivering care, but its use must align with regulatory requirements and good clinical governance to ensure safe and compliant implementation in healthcare delivery.

Navigating AI – practical questions for NHS leaders to ask

14 August 2025. As Artificial intelligence (AI) becomes increasingly embedded into clinical pathways and new models of care, NHS leaders play a critical role in ensuring safe and ethical implementation that drives benefits for patients and staff. Download our new toolkit, designed to support your conversations at each stage of the journey from considering using AI through to implementing solutions into business-as-usual workflows.

Artificial intelligence (AI) and machine learning

Updated in April 2025 and published in 2023 this guidance includes examples from the NHS AI awards winners and tips for implementation including planning AI in general practice.

Artificial Intelligence (AI) in Social Care Guidance for Providers

A dedicated guidance resource for social care providers using AI and digital technologies in including adult social care

AI deployment fundamentals for medical imaging

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

Auto-contouring in radiotherapy

RCR guidance developed to aid all healthcare professionals involved in the use of auto-contouring systems for radiotherapy treatment and explains the different stages of selection, implementation and ongoing monitoring of an auto-contouring system to support the safe clinical use of this new technology.

AI deployment fundamentals for medical imaging

2024: The AI deployment fundamentals for medical imaging guidance was developed by an expert panel who identified minimum standards for providers to deploy artificial intelligence (AI) solutions in radiology and focuses on the period between the algorithm achieving regulatory approval and its business-as-usual deployment.

Developing healthcare workers’ confidence in artificial intelligence (AI)

1 April 2023. This report explores how confidence in artificial intelligence (AI) among healthcare workers can be developed through education and training. This report follows on from a previous report which outlined a conceptual framework for understanding what influences confidence in AI.

Understanding healthcare workers’ confidence in artificial intelligence (AI)

1 April 2023. This report explores the factors influencing healthcare workers’ confidence in artificial intelligence-driven (AI) technologies.

What do technology and AI mean for the future of work in health care?

Recent developments in artificial intelligence (AI) have sparked fears about the potential threat to jobs in many industries, but what will it mean for health care? This long read explores the potential. Published November 2023.

Using machine learning in diagnostic and screening services

CQC review of the use of machine learning applications for diagnostic purposes in healthcare services. Published May 2022.