AI in practice

Ambient Voice technology enabled products

Device qualification and classification of ambient voice technology-enabled products that are medical devices intended to be placed on the market, or put into service, in Great Britain

Measuring up evaluating claims about AI and productivity in the UK public sector

This briefing is designed to equip policymakers, journalists and others with the tools to critically evaluate AI productivity claims in the UK public sector. It examines the dominant methodologies underpinning current estimates, surfaces recurring weaknesses in the evidence base and offers a framework of questions for interrogating the numbers as they are presented.

Using AI-enabled ambient scribing products in health and care settings

IG guidance on the use of Artificial Intelligence (AI) enabled ambient scribing products in health and care settings.

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

Artificial Intelligence in health and social care: CQC's role, expections and plans

Outline of some of the benefits and risks of AI and set out how CQC’s regulatory work has a role in ensuring AI contributes to safe, equitable and person-centred care. Published March 2026

National Commission into the Regulation of AI in Healthcare: research, engagement and call for evidence findings

Findings from the National Commission into the Regulation of AI in Healthcare's call for evidence and wider research and engagement activities. Published January 2026

Artificial intelligence for diagnostics in radiology practice: a rapid systematic scoping review

The aim of this review was to evaluate evidence on the use of Artificial Intelligence (AI) to support diagnostics in radiology, including implementation, experiences, perceptions, quantitative, and cost outcomes. Published 25 May 2025

Data and AI Ethics Framework

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

A Framework for the safe, efficient and effective implementation, use and maintenance of AI in health and care in London

An overview of the agreed way of implementing and monitoring Artificial Intelligence (AI) products in the London health and care system. Published 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) in Social Care Guidance for Providers

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

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.