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Seizing A Rare Opportunity: Scaling Ambient Voice Technology In The NHS | The King’s Fund

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How can the NHS make the most of ambient voice technology? Explore the opportunities, challenges and benefits of scaling AVT across health and care.

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AI Adoption is overloading your middle managers

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Collaboration Opportunities for the AI Ambassador Community'

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Collaboration Opportunities for the AI Ambassador Community'

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We are a collaboration platform empowering everyone working in health and social care to safely connect, share and learn across boundaries. Be part of a FutureNHS.

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Understanding AI in the NHS: A Practical Resource Hub

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Understanding AI in the NHS: A Practical Resource Hub

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Download: AI Basics - Your first steps

This introductory leaflet offers a clear, NHS-focused overview of Artificial Intelligence including real use cases like diagnostics and virtual assistants. It covers trust, bias, and accountability in AI systems and includes practical tools: glossary, impact assessment template, and governance checklist.

Download: Simple AI  - Risks and Bias
Explains how bias can arise in AI systems used in the NHS, why it matters for patient safety and fairness, and outlines practical steps to identify, manage, and reduce bias to build trustworthy, equitable healthcare tools

Download: A Practical Guide to AI Governance and Accountability
A practical guide that explains how the NHS can safely and responsibly manage AI by setting clear rules, ensuring oversight, protecting patient data, and promoting fairness and accountability.

Download: Simple AI and Data Quality
Explains why high-quality data is essential for safe, fair, and effective use of AI in the NHS, offering practical guidance on assessing, managing, and improving data to support trustworthy AI tools in your organisation.

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Artificial Intelligence (AI) is rapidly transforming healthcare, offering new ways to improve patient outcomes, streamline services, and support clinical decision-making. But with innovation comes responsibility — and a need for clarity, governance, and trust.

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Using Artificial Intelligence (AI) for Career Development | RCN Career Resources | Royal College of Nursing

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Advice for nurses, midwives, and support workers on using Artificial Intelligence (AI) for career exploration, mock interview questions, and researching employers, including ideas, tips, and useful prompts.

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Details for: Microsoft Copilot / › KSS Knowledge & Library Services catalogue

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Beyond human ears: navigating the uncharted risks of AI scribes in clinical practice - npj Digital Medicine 2025

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Artificial intelligence (AI) scribes have been rapidly adopted across health systems, driven by their promise to ease the documentation burden and reduce clinician burnout.

While early evidence shows efficiency gains, this commentary cautions that adoption is outpacing validation and oversight.

Without greater scrutiny, the rush to deploy AI scribes may compromise patient safety, clinical integrity, and provider autonomy.

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Beyond human ears: navigating the uncharted risks of AI scribes in clinical practice - npj Digital Medicine

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Artificial intelligence (AI) scribes have been rapidly adopted across health systems, driven by their promise to ease the documentation burden and reduce clinician burnout. While early evidence shows efficiency gains, this commentary cautions that adoption is outpacing validation and oversight. Without greater scrutiny, the rush to deploy AI scribes may compromise patient safety, clinical integrity, and provider autonomy.

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Link up with the Knowledge & Library Services at ASPH/RSFT

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Link up with the Knowledge & Library Services at ASPH/RSFT

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The teams at both sites can deliver training, in person or online, about some aspects of AI in healthcare:

At your team meetings

At QUASH days / Educational days

On an individual basis

We can also source the latest research, evidence, and best practice for you.

Please email us with any questions:

asp-tr.library@nhs.net (ASPH Knowledge Service)

rsc-tr.library@nhs.net (RSFT Knowledge Service)

And link to all of our services & resources via our websites:

ASPH Knowledge Service website

Royal Surrey Knowledge & Library Service website

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One example: Finding evidence online - An introduction to AI in healthcare & literature searching

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One example: Finding evidence online - An introduction to AI in healthcare & literature searching

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45 mins session delivered by the Knowledge Service Team

Book at a time that suits you

Delivered in person or via MS Teams

Highlights:

Effective Prompting Tips

Risks & Limitations

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Time: 1 hour, 6 modules (Free)

Level: Beginners

Aimed at: Anyone interested in AI

ASPH has now joined NHS Elect.

To access all online training provided by NHS Elect including the above, register for a free account at: nhselect.nhs.uk/login using your NHS email address.

Once registered, you will receive an activation email.

Be sure to check your junk mail. You will only be able to login once you have activated your account.

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Living with AI - a free course from the Scottish AI Alliance

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Living with AI - a free course from the Scottish AI Alliance

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Explains what AI is (and isn’t!), how it is developed and used today, as well the impacts of AI on our daily lives, work and society.

A free, beginner-friendly course that takes 2 to 4 hours to complete. Requires you to register for an account and once you have selected to take the course you have 30 days of access to complete it at your own pace.

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Artificial Intelligence (AI) Course | Free, Online, Beginner-Friendly - Living with AI

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A free, online, beginner-friendly AI Course that will empower you to understand AI’s societal impact and navigate its opportunities with confidence. Learn about AI and its impact on the world we live in.

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Good Things Foundation is the UK’s leading digital inclusion charity.

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Good Things Foundation: Artificial Intelligence learning

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Good Things Foundation: Artificial Intelligence learning

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1. An introduction to AI

2. Learning about generative AI

3. Using AI

4. Check your knowledge

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Artificial Intelligence | Artificial Intelligence | Good Things Foundation Learning

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Welcome to our artificial intelligence learning. Please choose a section below to get started.

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Curated learning resources, mapped to the AI capability framework.

All resources are free to access, have been approved by a panel of AI in healthcare experts, and map directly to the framework across 5 areas:

Using digital technology in healthcare

Caring for patients with digital technology

Ethical, legal and regulatory considerations in AI

Planning for AI

Managing Health Data

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We've put some small files called cookies on your device to make our site work.

We'd also like to use analytics cookies. These send anonymous information about how our site is used to a service called Google Analytics & Hotjar Analytics. We use this information to improve our site.

Let us know if this is OK. We'll use a cookie to save your choice. You can read more about our cookies before you choose.

BETA This is a new platform - your feedback will help us to improve it.

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Skip to main content We've put some small files called cookies on your device to make our site work. We'd also like to use analytics cookies. These send anonymous information about how our site is used to a service called Google Analytics & Hotjar Analytics. We use this information to improve our site.

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elfH: An introduction to artificial intelligence for healthcare professionals

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elfH: An introduction to artificial intelligence for healthcare professionals

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48 An introduction to artificial intelligence for healthcare professionals

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This session describes artificial intelligence (AI) and AI technologies that relate to healthcare. It also explores high-level concepts in machine learning (ML) and provides a responsible AI approach. There is a pre-learning survey to complete before accessing the elearning and a post-learning survey, when the elearning is complete.

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BMJ Feature: The “ambient scribe” tools listening to and summarising your doctor-patient consultations

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BMJ Feature: The “ambient scribe” tools listening to and summarising your doctor-patient consultations

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The “ambient scribe” tools listening to and summarising your doctor-patient consultations

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New AI tools that record and summarise doctor-patient conversations are becoming increasingly common. But what are they, and can they be trusted? Chris Stokel-Walker reports Heidi is listening. Nearly half a million patients are registered with Modality Partnership, the NHS’s largest GP partnership. Hundreds of doctors across more than 50 sites in England see these patients daily. Since November, Heidi, an artificial intelligence (AI) tool, has been listening to these consultations and transcribing them. Heidi allows GPs to spend less time inputting a patient’s clinical history into a computer, and more time focusing on the patient. “The feedback from colleagues has been very positive,” says Tom Ratcliffe, digital transformation clinical lead at the partnership, who has been overseeing the testing of Heidi. “As a GP, the main thing I’ve noticed is that I’m able to focus entirely on the patient when they’re in the room with me,” says Ratcliffe. Every doctor knows that a lot of patient communication is non-verbal. By having Heidi running in the background, Ratcliffe says, “I can listen more intently and pick up non-verbal cues, which are important in the GP setting. The patient encounter is much more relaxed and there’s a better connection because I’m not having to make notes as we go along.” So-called ambient scribing tools—which transcribe but don’t record a patient consultation—have been presented as a boon for the NHS. Dominic Cushnan, deputy director for AI at NHS England, called them “a particularly exciting development” at a conference organised by the Royal College of Radiologists in early February.1 “Ambient scribing technology uses AI to automatically transcribe doctor-patient conversations during consultations, reducing the need for manual note taking,” Cushnan explained. “This allows clinicians to focus fully on their patients without worrying about documentation.” Jaron Chong, chair of …

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Register for a free Futures Collaboration Platform account here - if you have not already done so.

Link to the AI Virtual Hub - via Futures

Scroll down to link to the AI Ambassador Network - a new learning forum for healthcare professionals and those interested in AI in healthcare to share their ideas and practical applications of AI with others.

Holds monthly meetings to share learning, capability building and delivery of AI across health and care systems

If you are not already a member, join the network here which automatically generates invitations to future meetings and learning events.

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We are a collaboration platform empowering everyone working in health and social care to safely connect, share and learn across boundaries. Be part of a FutureNHS.

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AI guides by University Hospitals Plymouth NHS Trust

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AI guides by University Hospitals Plymouth NHS Trust

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Guides cover:

Machine learning

AI robotics in healthcare

Generative AI

Large Language AI models (General Overview only)

Natural language processing

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Copilot case studies, usage cases, user guide, learning network, and data protection impact assessments

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Copilot case studies, usage cases, user guide, learning network, and data protection impact assessments

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We are a collaboration platform empowering everyone working in health and social care to safely connect, share and learn across boundaries. Be part of a FutureNHS.

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A list of the current networks and communities of practice which are available to join with an AI or healthcare focus which AI Ambassador members / those utilising, planning to utilise or optimise AI, have found useful or supportive.

Link to the The AI Network Directory

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We are a collaboration platform empowering everyone working in health and social care to safely connect, share and learn across boundaries. Be part of a FutureNHS.

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Created by the NHS England AI Team to enable the responsible adoption of AI in the NHS by providing a suite of resources for all those working within healthcare to access.

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Created by the AI Team and partner organisations, categorised as:

Understand AI

Develop AI

AI In Practice

Spread and Scale of AI - Adopt AI

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We are a collaboration platform empowering everyone working in health and social care to safely connect, share and learn across boundaries. Be part of a FutureNHS.

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Access our electronic resources from anywhere via any device

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Generative Artificial Intelligence and Copyright (HCW)

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Generative Artificial Intelligence and Copyright (HCW)

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We have been told by NHS England on behalf of the Copyright Licensing Authority to act with caution when using generative AI tools to create summaries of research.

Some publishers have prohibited the use of any of their published materials (articles, books, clinical decision support tools etc.) in AI tools, and because there is currently no copyright license or non-commercial exception for use of these tools, you could be breaking copyright laws.

If you have been planning to use AI to summarise research whether for education or other reasons, we recommend you don’t or suggest you approach publishers directly to check what they will and won't allow.

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NEXT 'AI Together' Wednesday 23 September 2026 12-12.45pm via MS Teams.

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NEXT 'AI Together' Wednesday 23 September 2026 12-12.45pm via MS Teams.

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If you have any questions in the meantime please email olwen.revill@nhs.net or vicki.veness@nhs.net

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Details for: Microsoft Copilot / › KSS Knowledge & Library Services catalogue

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E-book: Artificial intelligence For Dummies (2025)

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E-book: Artificial intelligence For Dummies (2025)

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Details for: Artificial intelligence / › KSS Knowledge & Library Services catalogue

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The online catalogue only uses functional cookies: these are essential to make the site work. Please click the ‘Accept essential cookies’ button to proceed.

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E-book: Generative AI for Dummies (2025)

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E-book: Generative AI for Dummies (2025)

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Details for: Generative AI / › KSS Knowledge & Library Services catalogue

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The online catalogue only uses functional cookies: these are essential to make the site work. Please click the ‘Accept essential cookies’ button to proceed.

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Who's really in the loop? Rethinking oversight in AI-assisted health care

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Who's really in the loop? Rethinking oversight in AI-assisted health care

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MAGNIFICA HUMANITAS OF HIS HOLINESS POPE LEO XIV: Chapter 3 Artificial Intelligence (May 2026)

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MAGNIFICA HUMANITAS OF HIS HOLINESS POPE LEO XIV: Chapter 3 Artificial Intelligence (May 2026)

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Encyclical Letter of His Holiness Leo XIV Magnifica Humanitas (15 May 2026)

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ENCYCLICAL LETTER MAGNIFICA HUMANITAS OF HIS HOLINESS POPE LEO XIV ON SAFEGUARDING THE HUMAN PERSON IN THE TIME OF ARTIFICIAL INTELLIGENCE [ Multimedia ] ___________________________

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Keeping humans at the heart of the AI transformation

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Dean Royles discusses how chief people officers can lead the AI transformation.

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Frontiers | Artificial intelligence and ChatGPT literacy among surgical healthcare professionals: knowledge, attitudes, and perceived clinical utility

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BackgroundArtificial intelligence (AI) and large language models such as ChatGPT are increasingly applied in surgical education and practice. Successful inte…

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How to read a paper involving artificial intelligence (AI) (Dijkstra, P, Greenhalgh, T. et al. (April 2025)

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How to read a paper involving artificial intelligence (AI) (Dijkstra, P, Greenhalgh, T. et al. (April 2025)

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Guides readers through the critical appraisal of a paper that includes the use of artificial intelligence (AI) in clinical settings for healthcare delivery.

A brief introduction to the different types of AI used in healthcare is given, along with some ethical principles to guide the introduction of AI systems into healthcare. Existing publication guidelines for AI studies are highlighted.

Ten preliminary questions to ask about a paper describing an AI based decision support algorithm are suggested.

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Paul Dijkstra, Trisha Greenhalgh, Yosra Magdi Mekki, Jessica Morley

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How to read a paper involving artificial intelligence (AI)

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This paper guides readers through the critical appraisal of a paper that includes the use of artificial intelligence (AI) in clinical settings for healthcare delivery. A brief introduction to the different types of AI used in healthcare is given, along with some ethical principles to guide the introduction of AI systems into healthcare. Existing publication guidelines for AI studies are highlighted. Ten preliminary questions to ask about a paper describing an AI based decision support algorithm are suggested.