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The AI Award - Racial and Ethnic Inequalities Call is a grant from the NHS Accelerated Access Collaborative and the National Institute for Health Research that funds development, testing, and evaluation of artificial intelligence technologies addressing racial and ethnic health inequalities within the NHS. The program funds technologies across the full development spectrum from initial feasibility to full NHS-scale evaluation.
Phase 1 awards reach up to 150,000 pounds sterling, while Phases 2 through 4 provide up to 7,000,000 pounds sterling for advanced evaluation and implementation. Eligible applicants include academic institutions, NHS trusts, and industry partners developing AI solutions aligned with strategic aims in the NHS Long Term Plan. The program is administered by the NHS AI Lab as part of the broader AI in Health and Care Award initiative.
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NHS Accelerated Access Collaborative » Artificial Intelligence in Health and Care Award The Artificial Intelligence (AI) in Health and Care Award is an NHS AI Lab programme run by the Accelerated Access Collaborative (AAC) in partnership with the National Institute for Health Research (NIHR).
It will make funding available to accelerate the testing and evaluation of the most promising AI technologies which meet the strategic aims set out in the NHS Long Term Plan . The Award will support technologies across the spectrum of development: from initial feasibility to evaluation within the NHS.
As part of the award, independent evaluations are being commissioned for the most mature technologies in the award programme (Phase 4 technologies) by our Evaluation Partner Group to build evidence to inform recommendations for national roll-out. Find out more about AI Award Evaluation . The Award forms a key part of the AAC’s ambition to establish a globally leading testing infrastructure for innovation in the UK.
AI Award competition update The winners of the third competition were on 3 March 2023. A total of 9 awards were made across phases 2,3 and 4. Find out more about the winners .
The winners of the second competition were announced on 16 June 2021. A total of 38 awards were made across the four Phases. Find out more about the winners .
The winners of the first award were announced on 8 September 2020. A total of 42 awards were made across the four Phases. Find out more about the 10 Phase 4 winners .
The winners for Phases 1 to 3 are available on the National Institute for Health Research website . Following these announcements, we have been working with the winners on: site selection: matching appropriate NHS healthcare services to support the testing for each product. evaluation: ensuring appropriate evidence is collected to enable faster rollout of the AI innovations into the NHS.
This map shows the NHS sites where the Phase 4 winners in Round 1 of the AI Award will be implementing their AI technologies through the award: This community of practice is the central place to find information and connect with others about the award. The hub is hosted on the FutureNHS platform.
We encourage anyone considering applying to the award to join the AI Virtual Hub for details about who it is aimed at and why you should apply, an outline of the application and assessment process, and resources available to help. AI technologies may have a variety of applications in health and social care.
Below are some examples: Health Promotion and Prevention: Digital epidemiology and disease surveillance National screening programs Symptoms checkers and decision support for differential diagnosis Prediction of deterioration Optimisation of care pathways Identification of resource requirements Natural Language Processing for administrative tasks The Award supports AI innovators and technologies across the spectrum of development: from concept through to initial NHS adoption and testing of the AI technology within clinical pathways.
Below is an explanation of the four support phases available: Development and clinical evaluation Initial health system adoption Location of lead organisation Worldwide (provided you have a UK-registered office or a UK health or social care organisation as a co-lead) Can be outside the UK, provided there is reasonable justification and a clear trajectory to NHS benefit Eligible organisation types Higher education institutions (HEIs) Small and medium-sized enterprises (SMEs) NHS and social care organisations Higher education institutions (HEIs) Small and medium-sized enterprises (SMEs) NHS and social care organisations Not required but encouraged Minimum of two different organisations types Minimum of two different organisation types, one must be NHS or social care Three or more NHS or social care adoption sites Uncapped, but typically range £500k-£1.
5m Uncapped, but typically range £500k-1. 5m Uncapped, but typically range £1-7m Full details of the phases, requirements and how to apply are available on the NIHR website . For further information and enquiries please contact enquiries@ai-award.
info or take a look at our frequently asked questions .
Based on current listing details, eligibility includes: Research projects that can better understand and enable opportunities to use AI to ensure innovation happens in response to the health needs of minority ethnic groups, and contribute to improving the quality, availabili… Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Up to £150,000 (Phase 1); up to £7,000,000 (Phases 2-4) Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is rolling deadlines or periodic funding windows. Build your timeline backwards from this date to cover registrations, approvals, attachments, and final submission checks.
Federal grant success rates typically range from 10-30%, varying by agency and program. Build a strong proposal with clear objectives, measurable outcomes, and a well-justified budget to improve your chances.
Requirements vary by sponsor, but typically include a project narrative, budget justification, organizational capability statement, and key personnel CVs. Check the official notice for the complete list of required attachments.
Yes — AI tools like Granted can help research funders, draft proposal sections, and check compliance. However, always review and customize AI-generated content to reflect your organization's unique strengths and the specific requirements of the solicitation.
Review timelines vary by funder. Federal agencies typically take 3-6 months from submission to award notification. Foundation grants may be faster, often 1-3 months. Check the program's timeline in the official solicitation for specific dates.
Many federal programs offer multi-year funding or allow competitive renewals. Check the official solicitation for continuation and renewal policies. Non-competing continuation applications are common for multi-year awards.