Artificial Intelligence (AI) has the potential to make a significant difference in health and care settings through its ability to analyse large quantities of complex information. We’re already seeing great applications of AI technology, and more work is underway to fully harness its benefits and use AI safely and ethically at scale.
The NHS Artificial Intelligence Laboratory (NHS AI Lab) was created to address that challenge by bringing together government, health and care providers, academics and technology companies. If you work in AI for health and care, get involved by joining our AI Virtual Hub.
NHS AI Lab programmes
The NHS AI Lab creates an environment for collaboration and co-creation by bringing together programmes that address the barriers to developing and deploying AI systems in health and care. This will unlock the potential of AI to revolutionise healthcare, whilst ensuring we can determine the right guidance and regulations to protect patients.
We are working in partnership with several government and NHS partners. We are also engaging with the people developing and using AI, as well as members of the public potentially benefitting from it. To find out more, visit NHS AI Lab: Get involved.
Explore our guidance, case studies, reports and blog posts to find out about challenges faced by individuals and organisations working with AI in health and care and discover their solutions and best practice.
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The NHS AI Lab 1st anniversary event
The NHS AI Lab turned one in 2020. We held an event on 24 September to outline progress one year on and priorities moving forward; as well as showcasing AI Award winners and addressing AI hot topics such as regulation and evidencing effectiveness.
Using AI to improve back office efficiency in the NHS
This case study details how AI technologies can help manage, plan and schedule health and social care ensuring the right people are in the right place, helping patients receive the care they need and save hospitals time and money.
Sharing AI skills and experience through deep dive workshops with University Hospital Southampton
As part of a shared learning initiative from the NHS AI Lab Skunkworks, the Digital team at University Hospital Southampton undertook a 5-part series of AI workshops to help them explore the ethical and safety considerations of applying AI in their work.
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Blog: Lessons learned from the multi-agency advisory service – helping developers of AI and data-driven tech to navigate the regulatory pathway
This blog post from NICE outlines the common challenges that developers of artificial intelligence tech face when navigating their way to the health and care market.
Exploring how to create mock patient data (synthetic data) from real patient data
This case study looks at one process for creating “synthetic data” - where new “fake” data is generated from real patient data using a specifically designed model, in a way that maintains several characteristics of the original data.
Working with a Trusted Research Environment
Partnership project to gain experience of using a TRE to answer key and important questions for a defined project. OpenSAFELY, an open-source software platform for analysis of electronic health care records data, was used for COVID-19 research.
Are you trying to adopt AI for use in health and care?
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