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Set out its own AI approach in a statement of intent (ECD12, November 2024) and a position statement on AI in evidence generation (ECD11).","composition":"","parent":"Department of Health and Social Care","parent_research":"Department of Health and Social Care","relationships":"","notes":"Added or updated by Supplement 1 (edition 2.1).","checked":"2026-10-28","website":[],"sources":["https://www.gov.uk/government/organisations/national-institute-for-clinical-excellence","https://www.gov.uk/government/collections/ai-airlock-a-regulatory-sandbox-for-ai-enabled-medical-devices","https://www.nice.org.uk/what-nice-does/digital-health/artificial-intelligence-at-nice","https://www.nice.org.uk/guidance/htg739","https://www.nice.org.uk/corporate/ecd12"],"source_quotes":[{"url":"https://www.gov.uk/government/organisations/national-institute-for-clinical-excellence","quotes":["provides national guidance and advice to improve health and social care.","an executive non-departmental public body"],"accessed":"2026-10-28","secondary":false,"raw":""},{"url":"https://www.gov.uk/government/collections/ai-airlock-a-regulatory-sandbox-for-ai-enabled-medical-devices","quotes":[],"accessed":"2026-10-28","secondary":false,"raw":"https://www.gov.uk/government/collections/ai-airlock-a-regulatory-sandbox-for-ai-enabled-medical-devices — page names the NHS, NICE and the MHRA as participants in simulation workshops (accessed 2026-10-28)"},{"url":"https://www.nice.org.uk/what-nice-does/digital-health/artificial-intelligence-at-nice","quotes":["We understand the importance of responsible and effective use of artificial intelligence (AI)."],"accessed":"2026-10-28","secondary":false,"raw":""},{"url":"https://www.nice.org.uk/guidance/htg739","quotes":["Health technology evaluation 20 has been migrated to HealthTech guidance 739"],"accessed":"2026-10-28","secondary":false,"raw":""},{"url":"https://www.nice.org.uk/corporate/ecd12","quotes":["This document describes NICE's intention to develop its approach to providing guidance on artificial intelligence."],"accessed":"2026-10-28","secondary":false,"raw":""}],"bucket":"unit","depts":[{"dept":"National Institute for Health and Care Excellence","div":"national-institute-for-health-and-care-excellenc"}],"colleges":[],"directorate":"NICE","previous_parent":null,"parent_changed":null,"head":null,"established":null,"location":null,"money":null,"supplier_id_guess":null,"system":null,"rule":null,"topics":["health and care","regulation and standards"],"confidence":"verified","confidence_raw":"verified","one_source":false,"as_of":"2026-10-28","rec_table":[],"ext_links":[],"link_texts":[{"kind":"parent","target":"Department of Health and Social Care","ids":[]},{"kind":"related","target":"GOV-DHSC-035","ids":["GOV-DHSC-035"]},{"kind":"related","target":"GOV-DHSC-036","ids":["GOV-DHSC-036"]},{"kind":"related","target":"GOV-DHSC-069 to GOV-DHSC-077 (NICE AI guidance and AI statements)","ids":["GOV-DHSC-069","GOV-DHSC-077"]},{"kind":"partner_of","target":"MHRA (AI Airlock simulation workshops)","ids":[]},{"kind":"partner_of","target":"AI and Digital Regulations Service (GOV-DHSC-059)","ids":["GOV-DHSC-059"]}],"div_label":"National Institute for Health and Care Excellence","degree":12,"related_ids":["GOV-DHSC-035","GOV-DHSC-036","GOV-DHSC-059","GOV-DHSC-069","GOV-DHSC-070","GOV-DHSC-071","GOV-DHSC-072","GOV-DHSC-073","GOV-DHSC-074","GOV-DHSC-075","GOV-DHSC-076","GOV-DHSC-077"]},{"id":"GOV-DHSC-005","name":"UK Health Security Agency (UKHSA)","type":"Units and teams","category":"Health","affiliation":"Ministerial department","status_group":"current","status":"current — null","function":"Protects people from health threats. 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section 2.6 says \"Production/run and maintain\") — 2024-02-21","function":"Predicted an individual's combined risk of catching coronavirus and being hospitalised or dying, using the University of Oxford's QCovid risk models, to guide clinical discussions and the February 2021 Population Risk Assessment. 2,180 assessments were completed between January and March 2022.","composition":"","parent":"Department of Health and Social Care (provider NHS Digital merged into NHS England 2023)","parent_research":"Department of Health and Social Care (provider NHS Digital merged into NHS England 2023)","relationships":"","notes":"","checked":"2026-10-28","website":[],"sources":["https://www.gov.uk/algorithmic-transparency-records/department-for-health-and-social-care-and-nhs-digital-qcovid-algorithm","https://www.gov.uk/algorithmic-transparency-records?page=4"],"source_quotes":[{"url":"https://www.gov.uk/algorithmic-transparency-records/department-for-health-and-social-care-and-nhs-digital-qcovid-algorithm","quotes":["The aim of this clinical tool is to create a way of predicting how at-risk individuals might be from coronavirus."],"accessed":"2026-10-28","secondary":false,"raw":""},{"url":"https://www.gov.uk/algorithmic-transparency-records?page=4","quotes":["Department for Health and Social Care and NHS Digital: QCovid algorithm"],"accessed":"2026-10-28","secondary":false,"raw":""}],"bucket":"system","depts":[{"dept":"Department-wide","div":"department-wide"}],"colleges":[],"directorate":"DHSC Shielding / Enhanced Protection Programme (commissioner); NHS Digital (provider)","previous_parent":null,"parent_changed":null,"head":"Phil Harper (DHSC), Senior Responsible Owner during delivery","established":"2021","location":null,"money":null,"supplier_id_guess":"biz-bjss ; biz-kainos ; biz-university-of-oxford ; biz-hippo-digital","system":{"tool_name":"COVID-19 Clinical Tool / QCovid algorithms","owner_body":"DHSC and NHS Digital","purpose":"predict COVID-19 risk for shielding and clinical discussion","method":"QCovid Cox proportional hazards survival models (University of Oxford), separate vaccinated and unvaccinated versions","human_oversight":"\"The tool is designed to help guide discussions but does not mandate the treatment or next steps agreed for the patient.\"","supplier":"BJSS Limited/Sparck; University of Oxford; Hippo; Kainos","registers":"ATRS","register_url":"https://www.gov.uk/algorithmic-transparency-records/department-for-health-and-social-care-and-nhs-digital-qcovid-algorithm","stage":"Retired","first_published":"2022-07-06"},"rule":null,"topics":["health and care","public-sector adoption"],"confidence":"verified","confidence_raw":"verified","one_source":false,"as_of":"2026-10-28","rec_table":[],"ext_links":[],"link_texts":[{"kind":"parent","target":"Department of Health and Social Care","ids":[]},{"kind":"buys_from","target":"BJSS","ids":[]},{"kind":"buys_from","target":"Kainos","ids":[]},{"kind":"partner_of","target":"University of Oxford","ids":[]}],"div_label":"Department-wide","degree":0,"related_ids":[]},{"id":"GOV-DHSC-041","name":"DHSC Chief Digital, Data and Technology Officer","type":"Units and teams","category":"Health","affiliation":"Ministerial department","status_group":"current","status":"current — null","function":"The department's board-level digital, data and technology post. Under the Health Bill, NHS England's data and digital functions (including the NHS App platform) transfer to the Secretary of State to be run by DHSC.","composition":"","parent":"Department of Health and Social Care","parent_research":"Department of Health and Social Care","relationships":"","notes":"Added or updated by Supplement 1 (edition 2.1).","checked":"2026-10-28","website":[],"sources":["https://www.gov.uk/government/organisations/department-of-health-and-social-care","https://api.postcodes.io/postcodes/SW1H0EU"],"source_quotes":[{"url":"https://www.gov.uk/government/organisations/department-of-health-and-social-care","quotes":["Rob Thompson: Chief Digital, Data and Technology Officer"],"accessed":"2026-10-28","secondary":false,"raw":""},{"url":"https://api.postcodes.io/postcodes/SW1H0EU","quotes":["latitude","longitude","admin_district","Westminster"],"accessed":"2026-10-28","secondary":false,"raw":""}],"bucket":"unit","depts":[{"dept":"Department-wide","div":"department-wide"}],"colleges":[],"directorate":"Department of Health and Social Care","previous_parent":null,"parent_changed":null,"head":"Rob Thompson, Chief Digital, Data and Technology Officer (date from not stated)","established":null,"location":"Department of Health and Social Care, 39 Victoria Street, London, SW1H 0EU (51.497876, -0.133348)","money":null,"supplier_id_guess":null,"system":null,"rule":null,"topics":["data","public-sector adoption","health and care"],"confidence":"single_source","confidence_raw":"single_source","one_source":true,"as_of":"2026-10-28","rec_table":[],"ext_links":[],"link_texts":[{"kind":"parent","target":"Department of Health and Social Care","ids":[]},{"kind":"related","target":"GOV-DHSC-002","ids":["GOV-DHSC-002"]}],"div_label":"Department-wide","degree":1,"related_ids":["GOV-DHSC-002"]},{"id":"GOV-DHSC-042","name":"CERSI-AI (Centre of Excellence in Regulatory Science in AI and Digital Health)","type":"Partnerships","category":"Health","affiliation":"Ministerial department","status_group":"current","status":"current — 2025-06-27","function":"One of the MHRA's Centres of Excellence for Regulatory Science and Innovation. It coordinates meetings between academics, clinicians and the MHRA on AI regulation. Its head, Professor Alastair Denniston of the University of Birmingham, chairs the National Commission.","composition":"","parent":"MHRA","parent_research":"MHRA","relationships":"","notes":"","checked":"2026-10-28","website":[],"sources":["https://www.gov.uk/government/news/ai-airlock-cersis-and-a-new-global-ai-network-for-health-regulators","https://www.gov.uk/government/news/new-commission-to-help-accelerate-nhs-use-of-ai"],"source_quotes":[{"url":"https://www.gov.uk/government/news/ai-airlock-cersis-and-a-new-global-ai-network-for-health-regulators","quotes":["coordinating key meetings between academics, clinicians and the MHRA to unpick the nuances of AI regulation"],"accessed":"2026-10-28","secondary":false,"raw":""},{"url":"https://www.gov.uk/government/news/new-commission-to-help-accelerate-nhs-use-of-ai","quotes":[],"accessed":"2026-10-28","secondary":false,"raw":"https://www.gov.uk/government/news/new-commission-to-help-accelerate-nhs-use-of-ai — Professor Alastair Denniston, head of the Centre of Excellence in Regulatory Science in AI & Digital Health (CERSI-AI) (accessed 2026-10-28)"}],"bucket":"part","depts":[{"dept":"Medicines and Healthcare products Regulatory Agency","div":"medicines-and-healthcare-products-regulatory-age"}],"colleges":[],"directorate":"MHRA (Centres of Excellence for Regulatory Science and Innovation)","previous_parent":null,"parent_changed":null,"head":"Professor Alastair Denniston","established":null,"location":null,"money":"null (funding not found on GOV.UK pages read)","supplier_id_guess":null,"system":null,"rule":null,"topics":["regulation and standards","education and skills"],"confidence":"verified","confidence_raw":"verified","one_source":false,"as_of":"2026-10-28","rec_table":[],"ext_links":[{"kind":"related","id":"GOV-REG-170","name":"National Commission into the Regulation of AI in Healthcare: recommendations (10 September 2026)","page":"regulators/mhra","href":"../regulators/mhra/#org=GOV-REG-170","page_label":"MHRA"}],"link_texts":[{"kind":"parent","target":"MHRA","ids":[]},{"kind":"related","target":"GOV-DHSC-011","ids":["GOV-DHSC-011"]},{"kind":"partner_of","target":"University of Birmingham","ids":[]}],"div_label":"Medicines and Healthcare products Regulatory Agency","degree":0,"related_ids":[]},{"id":"GOV-DHSC-043","name":"NHS Federated Data Platform (FDP)","type":"Compute and data infrastructure","category":"Health","affiliation":"Ministerial department","status_group":"live","status":"live (139 NHS trusts and 35 integrated care boards live at the end of May 2026; 170 trusts and 35 ICBs signed up) — 2026-06-12","function":"A data platform that connects IT systems across NHS trusts and integrated care boards so staff can use shared tools and information. Procured by NHS England through competitive dialogue and supplied by Palantir Technologies UK under a contract running 22 November 2023 to 15 February 2027 (with optional extensions). Its \"Safe Summarisation\" large-language-model tool was a Phase 2 AI Airlock candidate. Capital spend on the FDP was almost £40 million in the year before the July 2026 capital plan. The National Data Guardian has raised concerns about external contractor access to identifiable data and about public and professional trust. NHS England says a consortium led by Palantir won the contract in November 2023, valued at £330 million over up to seven years, and that it has bought licences for all NHS providers and the 42 integrated care boards until March 2031. Taking up the platform is not mandatory. The privacy enhancing technology contract went to IQVIA (GOV-DHSC-084). NHS England says Palantir may not use NHS data for other purposes, including training an AI model, and calls the platform \"a foundation for future innovation, including AI tools\". At the end of May 2026, 139 trusts and 35 ICBs were live; national products are listed in GOV-DHSC-085.","composition":"","parent":"NHS England (to transfer to DHSC under the Health Bill)","parent_research":"NHS England (to transfer to DHSC under the Health Bill)","relationships":"","notes":"Added or updated by Supplement 1 (edition 2.1).","checked":"2026-10-28","website":[],"sources":["https://www.find-tender.service.gov.uk/Notice/037776-2023","https://www.contractsfinder.service.gov.uk/notice/0f8a65b5-23a2-4294-abb1-a7fd8efb3ad0","https://www.gov.uk/government/publications/10-year-capital-plan-for-health-and-social-care/10-year-capital-plan-for-health-and-social-care","https://www.gov.uk/government/news/the-nhs-federated-data-platform-the-importance-of-building-bridges-with-the-public","https://www.england.nhs.uk/digitaltechnology/nhs-federated-data-platform/impact/fdp-uptake-and-benefits/","https://www.england.nhs.uk/digitaltechnology/nhs-federated-data-platform/impact/fdp-uptake-and-benefits/nhs-trusts-live-with-nhs-fdp/","https://www.england.nhs.uk/digitaltechnology/nhs-federated-data-platform/fdp-faqs/","https://www.england.nhs.uk/digitaltechnology/nhs-federated-data-platform/fdp-faqs/"],"source_quotes":[{"url":"https://www.find-tender.service.gov.uk/Notice/037776-2023","quotes":["contract value could increase to a forecasted amount of £330m","is also not a committed amount"],"accessed":"2026-10-28","secondary":false,"raw":""},{"url":"https://www.contractsfinder.service.gov.uk/notice/0f8a65b5-23a2-4294-abb1-a7fd8efb3ad0","quotes":["NHS England has procured a contract for the provision of Federated Data Platform and Associated Services (FDP-AS)."],"accessed":"2026-10-28","secondary":false,"raw":""},{"url":"https://www.gov.uk/government/publications/10-year-capital-plan-for-health-and-social-care/10-year-capital-plan-for-health-and-social-care","quotes":["representing almost £40 million of capital spend last year"],"accessed":"2026-10-28","secondary":false,"raw":""},{"url":"https://www.gov.uk/government/news/the-nhs-federated-data-platform-the-importance-of-building-bridges-with-the-public","quotes":["The platform aims to connect disparate IT systems across health and care."],"accessed":"2026-10-28","secondary":false,"raw":""},{"url":"https://www.england.nhs.uk/digitaltechnology/nhs-federated-data-platform/impact/fdp-uptake-and-benefits/","quotes":["The number of NHS trusts that are live on the NHS Federated Data Platform as at end of May 2026.","The data below was updated on 12 June 2026. The next update will be in September 2026."],"accessed":"2026-10-28","secondary":false,"raw":""},{"url":"https://www.england.nhs.uk/digitaltechnology/nhs-federated-data-platform/impact/fdp-uptake-and-benefits/nhs-trusts-live-with-nhs-fdp/","quotes":["List of NHS integrated care boards (ICBs) and NHS trusts live with the NHS Federated Data Platform;"],"accessed":"2026-10-28","secondary":false,"raw":""},{"url":"https://www.england.nhs.uk/digitaltechnology/nhs-federated-data-platform/fdp-faqs/","quotes":["The contract is valued at £330 million for over a seven-year period","Implementation of the NHS FDP is not mandatory.","The NHS Privacy Enhancing Technology contract was awarded to IQVIA in November 2023."],"accessed":"2026-10-28","secondary":false,"raw":""},{"url":"https://www.england.nhs.uk/digitaltechnology/nhs-federated-data-platform/fdp-faqs/","quotes":["The NHS Privacy Enhancing Technology contract was awarded to IQVIA in November 2023."],"accessed":"2026-10-28","secondary":false,"raw":""}],"bucket":"infra","depts":[{"dept":"NHS England data and digital functions","div":"nhs-england"}],"colleges":[],"directorate":"NHS England data and digital functions","previous_parent":null,"parent_changed":null,"head":null,"established":"2023-11-22","location":null,"money":"contract: 182,242,760 GBP (excluding VAT; \"could increase to a forecasted amount of £330m\"), 2023-11-22 to 2027-02-15, allocated; capital_project: almost 40,000,000 GBP capital spend \"last year\" (per the 10 Year Capital Plan, July 2026)","supplier_id_guess":"biz-palantir","system":null,"rule":null,"topics":["data","health and care","public-sector adoption"],"confidence":"verified","confidence_raw":"verified","one_source":false,"as_of":"2026-10-28","rec_table":[],"ext_links":[{"kind":"related","id":"GOV-REG-165","name":"AI Airlock Phase 2 (applications closed by 15 July 2025; cohort 16 October 2025; report 27 July 2026)","page":"regulators/mhra","href":"../regulators/mhra/#org=GOV-REG-165","page_label":"MHRA"}],"link_texts":[{"kind":"parent","target":"NHS England","ids":["GOV-DHSC-001"]},{"kind":"buys_from","target":"Palantir Technologies UK Ltd","ids":[]},{"kind":"buys_from","target":"IQVIA (privacy enhancing technology)","ids":[]},{"kind":"related","target":"GOV-DHSC-015 (AI Airlock Phase 2)","ids":["GOV-DHSC-015"]},{"kind":"related","target":"GOV-DHSC-044","ids":["GOV-DHSC-044"]},{"kind":"related","target":"GOV-DHSC-065","ids":["GOV-DHSC-065"]},{"kind":"related","target":"GOV-DHSC-084","ids":["GOV-DHSC-084"]},{"kind":"related","target":"GOV-DHSC-085","ids":["GOV-DHSC-085"]}],"div_label":"NHS England","degree":6,"related_ids":["GOV-DHSC-001","GOV-DHSC-044","GOV-DHSC-060","GOV-DHSC-065","GOV-DHSC-084","GOV-DHSC-085"]},{"id":"GOV-DHSC-044","name":"Contract: Federated Data Platform and Associated Services (NHS England – Palantir Technologies UK)","type":"Partnerships","category":"Health","affiliation":"Ministerial department","status_group":"current","status":"current — 2023-11-22","function":"Contract awarded to Palantir Technologies UK Ltd (New Penderel House, 283-288 High Holborn, London WC1V 7HP) after competitive dialogue; not divided into lots; buyer address Quarry House, Leeds. Total value £182,242,760 excluding VAT, with a forecast ceiling of £330m that is not committed. Optional extensions of 24+12+12 months.","composition":"","parent":"NHS England","parent_research":"NHS England","relationships":"","notes":"Added or updated by Supplement 1 (edition 2.1).","checked":"2026-10-28","website":[],"sources":["https://www.find-tender.service.gov.uk/Notice/037776-2023","https://www.contractsfinder.service.gov.uk/notice/0f8a65b5-23a2-4294-abb1-a7fd8efb3ad0","https://api.postcodes.io/postcodes/LS27UE"],"source_quotes":[{"url":"https://www.find-tender.service.gov.uk/Notice/037776-2023","quotes":["Optional extensions to the contract term of 24+12+12 months.","This contract is divided into lots: No."],"accessed":"2026-10-28","secondary":false,"raw":""},{"url":"https://www.contractsfinder.service.gov.uk/notice/0f8a65b5-23a2-4294-abb1-a7fd8efb3ad0","quotes":[],"accessed":"2026-10-28","secondary":false,"raw":"https://www.contractsfinder.service.gov.uk/notice/0f8a65b5-23a2-4294-abb1-a7fd8efb3ad0 — Palantir Technologies UK, Ltd.; £182,242,760; competitive dialogue (above threshold) (accessed 2026-10-28)"},{"url":"https://api.postcodes.io/postcodes/LS27UE","quotes":["latitude","longitude","admin_district","Leeds"],"accessed":"2026-10-28","secondary":false,"raw":""}],"bucket":"part","depts":[{"dept":"NHS England","div":"nhs-england"}],"colleges":[],"directorate":"NHS England","previous_parent":null,"parent_changed":null,"head":null,"established":"2023-11-22","location":"Quarry House, Quarry Hill LS2 7UE (buyer address as transcribed in the master record, not a quotation) (53.798308, -1.531028)","money":"contract: 182,242,760 GBP, 2023-11-22 to 2027-02-15, allocated","supplier_id_guess":"biz-palantir","system":null,"rule":null,"topics":["data","health and care"],"confidence":"verified","confidence_raw":"verified","one_source":false,"as_of":"2026-10-28","rec_table":[],"ext_links":[],"link_texts":[{"kind":"parent","target":"NHS England","ids":["GOV-DHSC-001"]},{"kind":"buys_from","target":"Palantir Technologies UK Ltd","ids":[]},{"kind":"related","target":"GOV-DHSC-043","ids":["GOV-DHSC-043"]}],"div_label":"NHS England","degree":2,"related_ids":["GOV-DHSC-001","GOV-DHSC-043"]},{"id":"GOV-DHSC-045","name":"NHS AI Lab (National Artificial Intelligence Lab)","type":"Units and teams","category":"Health","affiliation":"Ministerial department","status_group":"current","status":"current (named \"NHS AI Team\" in MHRA pages of October 2025). The AI Lab's resource pages are still online at transform.england.nhs.uk, but that site's blog page says new blogs now appear on the NHS England website; the AI Lab home page and programme pages could not be read (permission timeout and robots block), so the current status of each programme is not confirmed — 2025-10-16","function":"Announced 8 August 2019 with £250 million to sit within NHSX in partnership with the Accelerated Access Collaborative. Ran the AI in Health and Care Award (£140m over three years), the AI Ethics Initiative, the National COVID-19 Chest Imaging Database and the proposed National Medical Imaging Platform, and is a partner in the MHRA's AI Airlock. The Lab also ran AI Skunkworks (GOV-DHSC-082), a team that ran short proof-of-concept AI projects for NHS bodies, and an Imaging team that aimed to build \"a broader medical imaging platform, providing researchers with a single source of national medical data\".","composition":"","parent":"NHS England","parent_research":"NHS England","relationships":"","notes":"Added or updated by Supplement 1 (edition 2.1).","checked":"2026-10-28","website":[],"sources":["https://www.gov.uk/government/news/health-secretary-announces-250-million-investment-in-artificial-intelligence","https://www.gov.uk/government/news/ai-at-the-forefront-of-efforts-to-treat-coronavirus-patients","https://www.gov.uk/government/publications/ai-airlock-phase-2-cohort","https://www.gov.uk/government/news/mhra-launches-ai-airlock-to-address-challenges-for-regulating-medical-devices-that-use-artificial-intelligence","https://transform.england.nhs.uk/blogs/?tag=ai","https://transform.england.nhs.uk/ai-lab/explore-all-resources/understand-ai/using-ai-to-support-nhs-resolution-with-negligence-claims-prediction","https://transform.england.nhs.uk/ai-lab/explore-all-resources/develop-ai/nccid-case-study-setting-standards-for-testing-artificial-intelligence/","https://transform.england.nhs.uk/blogs/?tag=ai"],"source_quotes":[{"url":"https://www.gov.uk/government/news/health-secretary-announces-250-million-investment-in-artificial-intelligence","quotes":["The lab will sit within NHSX"],"accessed":"2026-10-28","secondary":false,"raw":""},{"url":"https://www.gov.uk/government/news/ai-at-the-forefront-of-efforts-to-treat-coronavirus-patients","quotes":[],"accessed":"2026-10-28","secondary":false,"raw":"https://www.gov.uk/government/news/ai-at-the-forefront-of-efforts-to-treat-coronavirus-patients — the NCCID is one workstream of the NHS AI Lab at NHSX, which also launched a £140 million AI award (17 January 2021) (accessed 2026-10-28)"},{"url":"https://www.gov.uk/government/publications/ai-airlock-phase-2-cohort","quotes":[],"accessed":"2026-10-28","secondary":false,"raw":"https://www.gov.uk/government/publications/ai-airlock-phase-2-cohort — partners: MHRA, Department of Health and Social Care, NHS AI Team, Team AB (accessed 2026-10-28)"},{"url":"https://www.gov.uk/government/news/mhra-launches-ai-airlock-to-address-challenges-for-regulating-medical-devices-that-use-artificial-intelligence","quotes":[],"accessed":"2026-10-28","secondary":false,"raw":"https://www.gov.uk/government/news/mhra-launches-ai-airlock-to-address-challenges-for-regulating-medical-devices-that-use-artificial-intelligence — NHS AI Lab and DHSC named as collaborators (9 May 2024) (accessed 2026-10-28)"},{"url":"https://transform.england.nhs.uk/blogs/?tag=ai","quotes":["You can now find the latest blogs on the NHS England website."],"accessed":"2026-10-28","secondary":false,"raw":""},{"url":"https://transform.england.nhs.uk/ai-lab/explore-all-resources/understand-ai/using-ai-to-support-nhs-resolution-with-negligence-claims-prediction","quotes":["exists within the NHS AI Lab to support the health and care community to rapidly progress ideas"],"accessed":"2026-10-28","secondary":false,"raw":""},{"url":"https://transform.england.nhs.uk/ai-lab/explore-all-resources/develop-ai/nccid-case-study-setting-standards-for-testing-artificial-intelligence/","quotes":["by developing a broader medical imaging platform, providing researchers with a single source of national medical data."],"accessed":"2026-10-28","secondary":false,"raw":""},{"url":"https://transform.england.nhs.uk/blogs/?tag=ai","quotes":["Giuseppe Sollazzo, Head of Skunkworks at the NHS AI Lab"],"accessed":"2026-10-28","secondary":false,"raw":""}],"bucket":"unit","depts":[{"dept":"NHS AI Lab / NHS AI Team","div":"nhs-england"}],"colleges":[],"directorate":"NHS AI Lab / NHS AI Team","previous_parent":"NHSX","parent_changed":"2022 — NHSX merged into NHS England's Transformation Directorate; 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Building started in May 2020. By February 2022 it held over 60,000 images from more than 27 hospital trusts and was used by 16 research groups. In 2021 the NHS AI Lab Imaging team ran a proof-of-concept validation of five AI models on NCCID data with the British Society of Thoracic Imaging, Faculty, Queen Mary University of London, Royal Surrey Foundation Trust and the University of Dundee.","composition":"","parent":"NHS England (NHSX at the time)","parent_research":"NHS England (NHSX at the time)","relationships":"","notes":"Added or updated by Supplement 1 (edition 2.1).","checked":"2026-10-28","website":[],"sources":["https://www.gov.uk/government/news/ai-at-the-forefront-of-efforts-to-treat-coronavirus-patients","https://www.gov.uk/government/news/uk-to-pilot-world-leading-approach-to-improve-ethical-adoption-of-ai-in-healthcare","https://transform.england.nhs.uk/ai-lab/explore-all-resources/develop-ai/nccid-case-study-setting-standards-for-testing-artificial-intelligence/"],"source_quotes":[{"url":"https://www.gov.uk/government/news/ai-at-the-forefront-of-efforts-to-treat-coronavirus-patients","quotes":["quickly detect disease patterns and develop new treatments for patients."],"accessed":"2026-10-28","secondary":false,"raw":""},{"url":"https://www.gov.uk/government/news/uk-to-pilot-world-leading-approach-to-improve-ethical-adoption-of-ai-in-healthcare","quotes":[],"accessed":"2026-10-28","secondary":false,"raw":"https://www.gov.uk/government/news/uk-to-pilot-world-leading-approach-to-improve-ethical-adoption-of-ai-in-healthcare — NCCID named as an NHS AI Lab initiative for the algorithmic impact assessment trial (accessed 2026-10-28)"},{"url":"https://transform.england.nhs.uk/ai-lab/explore-all-resources/develop-ai/nccid-case-study-setting-standards-for-testing-artificial-intelligence/","quotes":["now includes over 60,000 images from more than 27 hospital trusts, and is being used by 16 research groups (February 2022).","ran a proof-of-concept validation process on 5 AI models / algorithms using NCCID data."],"accessed":"2026-10-28","secondary":false,"raw":""}],"bucket":"infra","depts":[{"dept":"NHS AI Lab","div":"nhs-ai-lab"}],"colleges":[],"directorate":"NHS AI Lab (NHSX)","previous_parent":null,"parent_changed":null,"head":"Dominic Cushnan, Head of AI Imaging, NHSX (2021)","established":"2021-01-17","location":null,"money":null,"supplier_id_guess":"biz-faculty","system":null,"rule":null,"topics":["data","health and care"],"confidence":"verified","confidence_raw":"verified","one_source":false,"as_of":"2026-10-28","rec_table":[],"ext_links":[],"link_texts":[{"kind":"parent","target":"GOV-DHSC-045","ids":["GOV-DHSC-045"]},{"kind":"partner_of","target":"British Society of Thoracic Imaging","ids":[]},{"kind":"partner_of","target":"Royal Surrey NHS Foundation Trust","ids":[]},{"kind":"partner_of","target":"Queen Mary University of London","ids":[]},{"kind":"partner_of","target":"University of Dundee","ids":[]},{"kind":"buys_from","target":"Faculty","ids":[]}],"div_label":"NHS AI Lab","degree":2,"related_ids":["GOV-DHSC-045","GOV-DHSC-047"]},{"id":"GOV-DHSC-049","name":"AI stroke imaging (Brainomix e-Stroke) across NHS stroke networks","type":"AI systems in use","category":"Health","affiliation":"Ministerial department","status_group":"live","status":"live — 2025-09-26 (100% of stroke units)","function":"AI decision-support software that interprets brain scans for suspected stroke. Deployed across 11 stroke networks by December 2022 (5 funded by the award), in over 90% of stroke networks by October 2023 and 100% of stroke units in England by September 2025. Early analysis reported door-in-door-out time falling from 140 to 79 minutes and functional independence rising from 16% to 48%.","composition":"","parent":"NHS England","parent_research":"NHS England","relationships":"","notes":"","checked":"2026-10-28","website":[],"sources":["https://www.gov.uk/government/news/artificial-intelligence-revolutionising-nhs-stroke-care","https://www.gov.uk/government/news/ai-to-speed-up-lung-cancer-diagnosis-deployed-in-nhs-hospitals","https://www.gov.uk/government/news/new-commission-to-help-accelerate-nhs-use-of-ai"],"source_quotes":[{"url":"https://www.gov.uk/government/news/artificial-intelligence-revolutionising-nhs-stroke-care","quotes":["AI has the potential to transform our NHS"],"accessed":"2026-10-28","secondary":false,"raw":""},{"url":"https://www.gov.uk/government/news/ai-to-speed-up-lung-cancer-diagnosis-deployed-in-nhs-hospitals","quotes":[],"accessed":"2026-10-28","secondary":false,"raw":"https://www.gov.uk/government/news/ai-to-speed-up-lung-cancer-diagnosis-deployed-in-nhs-hospitals — AI tools live in over 90% of stroke networks in England; Brainomix e-Stroke (30 October 2023) (accessed 2026-10-28)"},{"url":"https://www.gov.uk/government/news/new-commission-to-help-accelerate-nhs-use-of-ai","quotes":[],"accessed":"2026-10-28","secondary":false,"raw":"https://www.gov.uk/government/news/new-commission-to-help-accelerate-nhs-use-of-ai — AI analyses acute stroke brain scans in 100% of stroke units in England (26 September 2025) (accessed 2026-10-28)"}],"bucket":"system","depts":[{"dept":"NHS England","div":"nhs-england"}],"colleges":[],"directorate":"NHS England (funded via the AI in Health and Care Award)","previous_parent":null,"parent_changed":null,"head":null,"established":"2022","location":null,"money":"funded within GOV-DHSC-046","supplier_id_guess":"biz-brainomix","system":{"tool_name":"Brainomix e-Stroke","owner_body":"NHS England / NHS stroke networks","purpose":"interpret brain scans to inform stroke treatment","method":"AI image analysis (method not detailed on GOV.UK)","human_oversight":"clinicians make treatment decisions","supplier":"Brainomix","registers":"none (no ATRS record found)","register_url":"null","stage":"Production","first_published":"2022-12-27"},"rule":null,"topics":["health and care","public-sector adoption"],"confidence":"verified","confidence_raw":"verified","one_source":false,"as_of":"2026-10-28","rec_table":[],"ext_links":[],"link_texts":[{"kind":"parent","target":"NHS England","ids":["GOV-DHSC-001"]},{"kind":"buys_from","target":"Brainomix","ids":[]},{"kind":"related","target":"GOV-DHSC-046","ids":["GOV-DHSC-046"]}],"div_label":"NHS England","degree":2,"related_ids":["GOV-DHSC-001","GOV-DHSC-046"]},{"id":"GOV-DHSC-050","name":"MHRA guidance: Software and artificial intelligence (AI) as a medical device","type":"Regulator actions","category":"Health","affiliation":"Ministerial department","status_group":"current","status":"current — 2025-02-03","function":"The MHRA's standing guidance page on how software and AI products are regulated as medical devices or in vitro diagnostics in Great Britain. 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Nine AI technologies can be used in the NHS to draw (contour) organs and tumours on scans for people having external beam radiotherapy, while more evidence is gathered over three years (or sooner), once each has DTAC approval and with a healthcare professional reviewing the contours. Named technologies: AI-Rad Companion Organs RT (Siemens Healthineers); ART-Plan (TheraPanacea, with Oncology Systems and Brainlab); DLCExpert (Mirada Medical); INTContour (Carina Medical); Limbus Contour (Limbus AI, AMG Medtech); MIM Contour ProtégéAI (MIM Software); MRCAT Prostate plus Auto-contouring (Philips); MVision Segmentation Service (MVision AI Oy, Xiel); RayStation (RaySearch). Two more were awaiting a CE or UKCA mark and could not yet be used: AutoContour (Radformation) and OSAIRIS (Cambridge University Hospitals NHS Foundation Trust). Evidence needed: how acceptable the contours are and how many edits they need, radiation dose to organs at risk, time saved, staff resource use, and errors.","composition":"","parent":"NICE (sponsored by the Department of Health and Social Care)","parent_research":"NICE (sponsored by the Department of Health and Social Care)","relationships":"","notes":"Added or updated by Supplement 1 (edition 2.1).","checked":"2026-10-28","website":[],"sources":["https://www.nice.org.uk/guidance/hte11/resources/artificial-intelligence-technologies-to-aid-contouring-for-radiotherapy-treatment-planning-early-value-assessment-pdf-50261966238661"],"source_quotes":[{"url":"https://www.nice.org.uk/guidance/hte11/resources/artificial-intelligence-technologies-to-aid-contouring-for-radiotherapy-treatment-planning-early-value-assessment-pdf-50261966238661","quotes":["can be used in the NHS while more evidence is generated"],"accessed":"2026-10-28","secondary":false,"raw":""}],"bucket":"rule","depts":[{"dept":"National Institute for Health and Care Excellence","div":"national-institute-for-health-and-care-excellenc"}],"colleges":[],"directorate":"National Institute for Health and Care Excellence (NICE)","previous_parent":null,"parent_changed":null,"head":null,"established":"2023-09-27","location":null,"money":null,"supplier_id_guess":"biz-siemens-healthineers ; biz-therapanacea ; biz-oncology-systems ; biz-brainlab ; biz-mirada-medical ; biz-carina-medical ; biz-limbus-ai ; biz-amg-medtech ; biz-mim-software ; biz-philips ; biz-mvision-ai ; biz-xiel ; biz-raysearch ; biz-radformation","system":null,"rule":{"kind":"guidance","stage":"published (early value assessment; evidence generation period 3 years)","stage_date":"2023-09-27","sponsor":"NICE","applies_to":"NHS radiotherapy services in England"},"topics":["health and care","regulation and standards"],"confidence":"single_source","confidence_raw":"single_source","one_source":true,"as_of":"2026-10-28","rec_table":[],"ext_links":[],"link_texts":[{"kind":"parent","target":"NICE (GOV-DHSC-004)","ids":["GOV-DHSC-004"]},{"kind":"partner_of","target":"Cambridge University Hospitals NHS Foundation Trust (OSAIRIS developer)","ids":[]}],"div_label":"National Institute for Health and Care Excellence","degree":1,"related_ids":["GOV-DHSC-004"]},{"id":"GOV-DHSC-071","name":"NICE HTG687 (formerly DG55): AI-derived computer-aided detection (CAD) software for detecting and measuring lung nodules in CT scan images","type":"Rules and law","category":"Health","affiliation":"Ministerial department","status_group":"current","status":"current — 2023-07-05","function":"NICE diagnostics guidance, published 5 July 2023 as DG55 and moved to the HealthTech series as HTG687 (December 2025 note; recommendations unchanged). There is not enough evidence to recommend the software alongside clinician review for CT scans in people with suspected lung cancer or for chest CT done for other reasons; there it should only be used in research. In targeted lung cancer screening the software has the potential to be cost effective, but it is not clear which products are best, so centres using it should gather further evidence. Thirteen technologies assessed: AI-Rad Companion Chest CT (Siemens Healthineers); AVIEW LCS+ (Coreline Soft); ClearRead CT (Riverain Technologies); contextflow SEARCH Lung CT (contextflow); InferRead CT Lung (Infervision); JLD-01K (JLK Inc.); Lung AI (Arterys); Lung Nodule AI (Fujifilm); qCT-Lung (Qure.ai); SenseCare-Lung Pro (SenseTime); Veolity (MeVis); Veye Lung Nodules (Aidence); VUNO Med-LungCT AI (VUNO). JLD-01K and Lung Nodule AI were not available in the UK when written.","composition":"","parent":"NICE (sponsored by the Department of Health and Social Care)","parent_research":"NICE (sponsored by the Department of Health and Social Care)","relationships":"","notes":"Added or updated by Supplement 1 (edition 2.1).","checked":"2026-10-28","website":[],"sources":["https://www.nice.org.uk/guidance/htg687/resources/artificial-intelligence-aiderived-computeraided-detection-cad-software-for-detecting-and-measuring-lung-nodules-in-ct-scan-images-pdf-1809598833440197"],"source_quotes":[{"url":"https://www.nice.org.uk/guidance/htg687/resources/artificial-intelligence-aiderived-computeraided-detection-cad-software-for-detecting-and-measuring-lung-nodules-in-ct-scan-images-pdf-1809598833440197","quotes":["not enough evidence to recommend","have the potential to be cost effective"],"accessed":"2026-10-28","secondary":false,"raw":""}],"bucket":"rule","depts":[{"dept":"National Institute for Health and Care Excellence","div":"national-institute-for-health-and-care-excellenc"}],"colleges":[],"directorate":"National Institute for Health and Care Excellence (NICE)","previous_parent":null,"parent_changed":null,"head":null,"established":"2023-07-05","location":null,"money":null,"supplier_id_guess":"biz-siemens-healthineers ; biz-coreline-soft ; biz-riverain-technologies ; biz-contextflow ; biz-infervision ; biz-jlk ; biz-arterys ; biz-fujifilm ; biz-qure-ai ; biz-sensetime ; biz-mevis ; biz-aidence ; biz-vuno","system":null,"rule":{"kind":"guidance","stage":"published (diagnostics guidance; research-only for suspected lung cancer; evidence generation in targeted screening)","stage_date":"2023-07-05","sponsor":"NICE","applies_to":"NHS chest CT reporting and targeted lung cancer screening in England"},"topics":["health and care","regulation and standards"],"confidence":"single_source","confidence_raw":"single_source","one_source":true,"as_of":"2026-10-28","rec_table":[],"ext_links":[],"link_texts":[{"kind":"parent","target":"NICE (GOV-DHSC-004)","ids":["GOV-DHSC-004"]},{"kind":"related","target":"GOV-DHSC-086 (AI lung nodule risk pilot)","ids":["GOV-DHSC-086"]}],"div_label":"National Institute for Health and Care Excellence","degree":2,"related_ids":["GOV-DHSC-004","GOV-DHSC-086"]},{"id":"GOV-DHSC-072","name":"NICE HTE12: AI-derived software to analyse chest X-rays for suspected lung cancer in primary care referrals (early value assessment)","type":"Rules and law","category":"Health","affiliation":"Ministerial department","status_group":"current","status":"current — null (publication date not shown on the pages read)","function":"NICE early value assessment. There is not enough evidence to recommend AI-derived software to analyse chest X-rays alongside clinician review for adults referred from primary care with suspected lung cancer; the software should only be used in research and only alongside clinician review. An evidence generation plan lists the gaps to fill for a future review and notes that DHSC is piloting a platform to deploy AI imaging tools in two NHS imaging networks (GOV-DHSC-081). Fourteen technologies named: AI-Rad Companion Chest X-ray (Siemens Healthineers); Annalise CXR (Annalise.ai); Auto Lung Nodule Detection (Samsung); ChestLink (Oxipit); ChestView (Gleamer); Chest X-ray (Rayscape); ClearRead Xray (Riverain Technologies); InferRead DR Chest (Infervision); Lunit INSIGHT CXR (Lunit); Milvue Suite (Milvue); qXR (Qure.ai); Red dot (Behold.ai); SenseCare-Chest DR PRO (SenseTime); VUNO Med-Chest X-Ray (VUNO). The same \"research only\" wording appears on NICE's public page at guidance/htg696, which appears to be its HealthTech guidance number; the migration is not stated on the pages read. Note for the site: this sits beside DHSC's £20 million roll-out of AI chest X-ray tools to every trust by 2029 (GOV-DHSC-019); the two cover different settings (NICE's assessment is for primary care referrals) and the pages read do not reconcile them.","composition":"","parent":"NICE (sponsored by the Department of Health and Social Care)","parent_research":"NICE (sponsored by the Department of Health and Social Care)","relationships":"","notes":"Different settings, both shown (Supplement 1, 0.3): NICE HTE12 covers adults referred from primary care with suspected lung cancer (\"should only be used in research\"); DHSC is funding AI chest X-ray tools in every trust by 2029 (GOV-DHSC-019). Added or updated by Supplement 1 (edition 2.1).","checked":"2026-10-28","website":[],"sources":["https://www.nice.org.uk/guidance/hte12/chapter/2-The-diagnostic-tests","https://www.nice.org.uk/guidance/hte12/chapter/3-Committee-discussion","https://www.nice.org.uk/guidance/hte12/resources/evidence-generation-plan-for-artificial-intelligencederived-software-to-analyse-chest-xrays-for-suspected-lung-cancer-in-primary-care-referrals-13186853101/chapter/1-Purpose-of-this-document","https://www.nice.org.uk/guidance/htg696/informationforpublic"],"source_quotes":[{"url":"https://www.nice.org.uk/guidance/hte12/chapter/2-The-diagnostic-tests","quotes":["Lung cancer is one of the most common types of cancer in the UK."],"accessed":"2026-10-28","secondary":false,"raw":""},{"url":"https://www.nice.org.uk/guidance/hte12/chapter/3-Committee-discussion","quotes":["AI‑derived software should only be used alongside clinician review."],"accessed":"2026-10-28","secondary":false,"raw":""},{"url":"https://www.nice.org.uk/guidance/hte12/resources/evidence-generation-plan-for-artificial-intelligencederived-software-to-analyse-chest-xrays-for-suspected-lung-cancer-in-primary-care-referrals-13186853101/chapter/1-Purpose-of-this-document","quotes":["for suspected lung cancer should only be used in research.","DHSC is piloting a platform to help deploy multiple AI imaging technologies in radiology, in 2 NHS imaging networks."],"accessed":"2026-10-28","secondary":false,"raw":""},{"url":"https://www.nice.org.uk/guidance/htg696/informationforpublic","quotes":[],"accessed":"2026-10-28","secondary":false,"raw":"https://www.nice.org.uk/guidance/htg696/informationforpublic — says there is not enough evidence to recommend the software and it should only be used in research (accessed 2026-10-28)"}],"bucket":"rule","depts":[{"dept":"National Institute for Health and Care Excellence","div":"national-institute-for-health-and-care-excellenc"}],"colleges":[],"directorate":"National Institute for Health and Care Excellence (NICE)","previous_parent":null,"parent_changed":null,"head":null,"established":null,"location":null,"money":null,"supplier_id_guess":"biz-siemens-healthineers ; biz-annalise-ai ; biz-samsung ; biz-oxipit ; biz-gleamer ; biz-rayscape ; biz-riverain-technologies ; biz-infervision ; biz-lunit ; biz-milvue ; biz-qure-ai ; biz-behold-ai ; biz-sensetime ; biz-vuno","system":null,"rule":{"kind":"guidance","stage":"published (early value assessment; research only)","stage_date":"null","sponsor":"NICE","applies_to":"NHS chest X-ray reporting for adults referred from primary care with suspected lung cancer, England"},"topics":["health and care","regulation and standards"],"confidence":"verified","confidence_raw":"verified (recommendation and technologies); publication date unverified","one_source":false,"as_of":"2026-10-28","rec_table":[],"ext_links":[],"link_texts":[{"kind":"parent","target":"NICE (GOV-DHSC-004)","ids":["GOV-DHSC-004"]},{"kind":"related","target":"GOV-DHSC-019","ids":["GOV-DHSC-019"]},{"kind":"related","target":"GOV-DHSC-068","ids":["GOV-DHSC-068"]},{"kind":"related","target":"GOV-DHSC-081","ids":["GOV-DHSC-081"]}],"div_label":"National Institute for Health and Care Excellence","degree":4,"related_ids":["GOV-DHSC-004","GOV-DHSC-019","GOV-DHSC-068","GOV-DHSC-081"]},{"id":"GOV-DHSC-073","name":"NICE HTG739 (formerly HTE20): AI technologies to help detect fractures on X-rays in urgent care (early value assessment)","type":"Rules and law","category":"Health","affiliation":"Ministerial department","status_group":"current","status":"current — 2025-01-14","function":"NICE early value assessment, published 14 January 2025 as HTE20 and moved to the HealthTech series as HTG739 with recommendations unchanged. Four AI technologies can be used in NHS urgent care to help detect fractures on X-rays during a two-year evidence generation period: Rayvolve (AZmed) and TechCare Alert (Milvue) for any age; BoneView (Gleamer) and RBfracture (Radiobotics) for ages 2 and over. qMSK (Qure.ai) is recommended only in research, for adults. A trained healthcare professional still reviews each X-ray. Draft guidance went out for comment in October 2024 (consultation 17 to 31 October 2024 on the project page; the NICE news item gives a deadline of 5 November 2024).","composition":"","parent":"NICE (sponsored by the Department of Health and Social Care)","parent_research":"NICE (sponsored by the Department of Health and Social Care)","relationships":"","notes":"Added or updated by Supplement 1 (edition 2.1).","checked":"2026-10-28","website":[],"sources":["https://www.nice.org.uk/guidance/htg739/resources/artificial-intelligence-ai-technologies-to-help-detect-fractures-on-xrays-in-urgent-care-early-value-assessment-pdf-1809600711250885","https://www.nice.org.uk/guidance/htg739","https://www.nice.org.uk/news/articles/ai-technologies-recommended-for-use-in-detecting-fractures","https://www.nice.org.uk/guidance/indevelopment/gid-hte10044"],"source_quotes":[{"url":"https://www.nice.org.uk/guidance/htg739/resources/artificial-intelligence-ai-technologies-to-help-detect-fractures-on-xrays-in-urgent-care-early-value-assessment-pdf-1809600711250885","quotes":["Four artificial intelligence (AI) technologies can be used in the NHS during the evidence generation period","At the end of the evidence generation period (2 years), the companies should submit the evidence to NICE"],"accessed":"2026-10-28","secondary":false,"raw":""},{"url":"https://www.nice.org.uk/guidance/htg739","quotes":["Health technology evaluation 20 has been migrated to HealthTech guidance 739","Last reviewed: 14 January 2025"],"accessed":"2026-10-28","secondary":false,"raw":""},{"url":"https://www.nice.org.uk/news/articles/ai-technologies-recommended-for-use-in-detecting-fractures","quotes":["These AI technologies are safe to use and could spot fractures which humans might miss."],"accessed":"2026-10-28","secondary":false,"raw":""},{"url":"https://www.nice.org.uk/guidance/indevelopment/gid-hte10044","quotes":["status updated from DG to EVA"],"accessed":"2026-10-28","secondary":false,"raw":""}],"bucket":"rule","depts":[{"dept":"National Institute for Health and Care Excellence","div":"national-institute-for-health-and-care-excellenc"}],"colleges":[],"directorate":"National Institute for Health and Care Excellence (NICE)","previous_parent":null,"parent_changed":null,"head":null,"established":"2025-01-14","location":null,"money":null,"supplier_id_guess":"biz-azmed ; biz-milvue ; biz-gleamer ; biz-radiobotics ; biz-qure-ai","system":null,"rule":{"kind":"guidance","stage":"published (early value assessment; evidence generation period 2 years)","stage_date":"2025-01-14","sponsor":"NICE","applies_to":"NHS urgent care X-ray services in England"},"topics":["health and care","regulation and standards"],"confidence":"verified","confidence_raw":"verified","one_source":false,"as_of":"2026-10-28","rec_table":[],"ext_links":[],"link_texts":[{"kind":"parent","target":"NICE (GOV-DHSC-004)","ids":["GOV-DHSC-004"]},{"kind":"related","target":"GOV-DHSC-081 (Radiobotics musculoskeletal X-ray AI also on the AI Deployment Platform pilot)","ids":["GOV-DHSC-081"]}],"div_label":"National Institute for Health and Care Excellence","degree":2,"related_ids":["GOV-DHSC-004","GOV-DHSC-081"]},{"id":"GOV-DHSC-074","name":"NICE HTE34: AI technologies to aid opportunistic detection of vertebral fragility fractures (early value assessment)","type":"Rules and law","category":"Health","affiliation":"Ministerial department","status_group":"current","status":"current — 2025-10-14","function":"NICE early value assessment, published 14 October 2025. Five AI technologies can be used in the NHS to spot vertebral fragility fractures on scans done for other reasons, during a three-year evidence generation period: BriefCase-Triage (Aidoc Medical); CINA-VCF Quantix (Avicenna.AI); HealthVCF and HealthOST (Nanox AI); IB Lab FLAMINGO (IB Lab). More research is needed before NHS funding for Annalise Enterprise CXR / Annalise Container CXR (Annalise.AI), BoneView (Gleamer) and TechCare Spine (Milvue). Companies must confirm evidence agreements and report to NICE each year.","composition":"","parent":"NICE (sponsored by the Department of Health and Social Care)","parent_research":"NICE (sponsored by the Department of Health and Social Care)","relationships":"","notes":"Added or updated by Supplement 1 (edition 2.1).","checked":"2026-10-28","website":[],"sources":["https://www.nice.org.uk/guidance/hte34/resources/artificial-intelligence-ai-technologies-to-aid-opportunistic-detection-of-vertebral-fragility-fractures-early-value-assessment-pdf-50262092209861"],"source_quotes":[{"url":"https://www.nice.org.uk/guidance/hte34/resources/artificial-intelligence-ai-technologies-to-aid-opportunistic-detection-of-vertebral-fragility-fractures-early-value-assessment-pdf-50262092209861","quotes":["Five artificial intelligence (AI) technologies can be used in the NHS during the evidence generation period.","At the end of the evidence generation period (3 years), the companies should submit the evidence to NICE."],"accessed":"2026-10-28","secondary":false,"raw":""}],"bucket":"rule","depts":[{"dept":"National Institute for Health and Care Excellence","div":"national-institute-for-health-and-care-excellenc"}],"colleges":[],"directorate":"National Institute for Health and Care Excellence (NICE)","previous_parent":null,"parent_changed":null,"head":null,"established":"2025-10-14","location":null,"money":null,"supplier_id_guess":"biz-aidoc ; biz-avicenna-ai ; biz-nanox-ai ; biz-ib-lab ; biz-annalise-ai ; biz-gleamer ; biz-milvue","system":null,"rule":{"kind":"guidance","stage":"published (early value assessment; evidence generation period 3 years)","stage_date":"2025-10-14","sponsor":"NICE","applies_to":"NHS imaging services in England"},"topics":["health and care","regulation and standards"],"confidence":"single_source","confidence_raw":"single_source","one_source":true,"as_of":"2026-10-28","rec_table":[],"ext_links":[],"link_texts":[{"kind":"parent","target":"NICE (GOV-DHSC-004)","ids":["GOV-DHSC-004"]}],"div_label":"National Institute for Health and Care Excellence","degree":1,"related_ids":["GOV-DHSC-004"]},{"id":"GOV-DHSC-075","name":"NICE early value assessment in development: AI-assisted echocardiography for diagnosing heart failure (GID-HTE10067)","type":"Rules and law","category":"Health","affiliation":"Ministerial department","status_group":"planned","status":"planned (in progress; final guidance date not shown) — 2026-03-05","function":"A NICE early value assessment of AI-assisted echocardiography technologies for diagnosing heart failure. Selected 2 April 2025, launched 11 July 2025, final scope 22 September 2025, first committee meeting 7 January 2026, draft guidance out for comment 10 to 24 February 2026. No technologies or companies are named on the project page.","composition":"","parent":"NICE (sponsored by the Department of Health and Social Care)","parent_research":"NICE (sponsored by the Department of Health and Social Care)","relationships":"","notes":"Added or updated by Supplement 1 (edition 2.1).","checked":"2026-10-28","website":[],"sources":["https://www.nice.org.uk/guidance/indevelopment/gid-hte10067"],"source_quotes":[{"url":"https://www.nice.org.uk/guidance/indevelopment/gid-hte10067","quotes":["In progress","07 January 2026: Committee meeting 1","10 to 24 February 2026: Draft guidance"],"accessed":"2026-10-28","secondary":false,"raw":""}],"bucket":"rule","depts":[{"dept":"National Institute for Health and Care Excellence","div":"national-institute-for-health-and-care-excellenc"}],"colleges":[],"directorate":"National Institute for Health and Care Excellence (NICE)","previous_parent":null,"parent_changed":null,"head":null,"established":"2025-07-11","location":null,"money":null,"supplier_id_guess":null,"system":null,"rule":{"kind":"guidance","stage":"draft guidance consulted on (10 to 24 February 2026); final not yet published on the page read","stage_date":"2026-02-24","sponsor":"NICE","applies_to":"NHS heart failure diagnosis in England"},"topics":["health and care","regulation and standards"],"confidence":"single_source","confidence_raw":"single_source","one_source":true,"as_of":"2026-10-28","rec_table":[],"ext_links":[],"link_texts":[{"kind":"parent","target":"NICE (GOV-DHSC-004)","ids":["GOV-DHSC-004"]}],"div_label":"National Institute for Health and Care Excellence","degree":1,"related_ids":["GOV-DHSC-004"]},{"id":"GOV-DHSC-076","name":"NICE statement of intent for artificial intelligence (ECD12)","type":"Rules and law","category":"Health","affiliation":"Ministerial department","status_group":"current","status":"current — 2024-11-14","function":"NICE corporate document, published 14 November 2024, setting out four priority areas: guidance on using AI methods in evidence generation (to replace the existing position statement, ECD11); making sure NICE's evaluation programmes deal with AI-specific issues such as algorithm validation, adaptive algorithms, bias, explainability and cyber security, working through the NICE Advice service and the AI and Digital Regulations Service; testing AI tools in NICE's own work, including to \"speed up guidance production\"; and aligning evaluation criteria with other countries. It sets no deadlines or numerical targets.","composition":"","parent":"NICE (sponsored by the Department of Health and Social Care)","parent_research":"NICE (sponsored by the Department of Health and Social Care)","relationships":"","notes":"Added or updated by Supplement 1 (edition 2.1).","checked":"2026-10-28","website":[],"sources":["https://www.nice.org.uk/corporate/ecd12/resources/nice-statement-of-intent-for-artificial-intelligence-ai-pdf-40464270623941","https://www.nice.org.uk/corporate/ecd12","https://www.nice.org.uk/what-nice-does/digital-health/artificial-intelligence-at-nice"],"source_quotes":[{"url":"https://www.nice.org.uk/corporate/ecd12/resources/nice-statement-of-intent-for-artificial-intelligence-ai-pdf-40464270623941","quotes":["establish guidance on the use of innovative AI methodologies.","explore how AI can help us improve internal processes."],"accessed":"2026-10-28","secondary":false,"raw":""},{"url":"https://www.nice.org.uk/corporate/ecd12","quotes":["This document describes NICE's intention to develop its approach to providing guidance on artificial intelligence.","Last reviewed"],"accessed":"2026-10-28","secondary":false,"raw":""},{"url":"https://www.nice.org.uk/what-nice-does/digital-health/artificial-intelligence-at-nice","quotes":["We understand the importance of responsible and effective use of artificial intelligence (AI)."],"accessed":"2026-10-28","secondary":false,"raw":""}],"bucket":"rule","depts":[{"dept":"National Institute for Health and Care Excellence","div":"national-institute-for-health-and-care-excellenc"}],"colleges":[],"directorate":"National Institute for Health and Care Excellence (NICE)","previous_parent":null,"parent_changed":null,"head":null,"established":"2024-11-14","location":null,"money":null,"supplier_id_guess":null,"system":null,"rule":{"kind":"strategy","stage":"published","stage_date":"2024-11-14","sponsor":"NICE","applies_to":"NICE's guidance, evaluation and internal processes"},"topics":["health and care","regulation and standards","public-sector adoption"],"confidence":"verified","confidence_raw":"verified","one_source":false,"as_of":"2026-10-28","rec_table":[],"ext_links":[],"link_texts":[{"kind":"parent","target":"NICE (GOV-DHSC-004)","ids":["GOV-DHSC-004"]},{"kind":"related","target":"GOV-DHSC-077","ids":["GOV-DHSC-077"]},{"kind":"related","target":"GOV-DHSC-059 (AIDRS)","ids":["GOV-DHSC-059"]},{"kind":"related","target":"GOV-DHSC-035","ids":["GOV-DHSC-035"]},{"kind":"related","target":"GOV-DHSC-036","ids":["GOV-DHSC-036"]}],"div_label":"National Institute for Health and Care Excellence","degree":5,"related_ids":["GOV-DHSC-004","GOV-DHSC-035","GOV-DHSC-036","GOV-DHSC-059","GOV-DHSC-077"]},{"id":"GOV-DHSC-077","name":"NICE position statement: use of AI in evidence generation (ECD11)","type":"Rules and law","category":"Health","affiliation":"Ministerial department","status_group":"current","status":"current (to be replaced by fuller guidance under ECD12) — null (publication date not shown on the chapters read)","function":"Sets out what NICE expects when companies and others use AI methods (including machine learning and generative AI) to produce evidence for NICE. They should use AI only where it adds value, justify and declare its use, report risks and how they reduced them, protect against cyber threats such as prompt injection, follow the UK government's framework for regulating AI and data protection law, and remain accountable for their submissions. AI should support, not replace, people; causal inference is treated as a higher-risk use. NICE will review the statement if significant new evidence appears. The chapters read do not mention Cochrane classifiers or literature-screening tools by name.","composition":"","parent":"NICE (sponsored by the Department of Health and Social Care)","parent_research":"NICE (sponsored by the Department of Health and Social Care)","relationships":"","notes":"Added or updated by Supplement 1 (edition 2.1).","checked":"2026-10-28","website":[],"sources":["https://www.nice.org.uk/corporate/ecd11/chapter/our-position-on-the-use-of-ai-in-evidence-generation-and-reporting","https://www.nice.org.uk/corporate/ecd11/chapter/background","https://www.nice.org.uk/corporate/ecd11/chapter/how-this-position-statement-was-developed"],"source_quotes":[{"url":"https://www.nice.org.uk/corporate/ecd11/chapter/our-position-on-the-use-of-ai-in-evidence-generation-and-reporting","quotes":["any use of AI methods should be based on the principle of augmentation, not replacement, of human involvement","All use of AI should align to the UK Government framework for regulating AI"],"accessed":"2026-10-28","secondary":false,"raw":""},{"url":"https://www.nice.org.uk/corporate/ecd11/chapter/background","quotes":["It's highly likely that, in the near future, evidence considered by NICE will be informed by AI methods."],"accessed":"2026-10-28","secondary":false,"raw":""},{"url":"https://www.nice.org.uk/corporate/ecd11/chapter/how-this-position-statement-was-developed","quotes":["NICE will review this position statement if significant new evidence becomes available"],"accessed":"2026-10-28","secondary":false,"raw":""}],"bucket":"rule","depts":[{"dept":"National Institute for Health and Care Excellence","div":"national-institute-for-health-and-care-excellenc"}],"colleges":[],"directorate":"National Institute for Health and Care Excellence (NICE)","previous_parent":null,"parent_changed":null,"head":null,"established":null,"location":null,"money":null,"supplier_id_guess":null,"system":null,"rule":{"kind":"guidance","stage":"published","stage_date":"null","sponsor":"NICE","applies_to":"organisations submitting evidence to NICE; NICE committees and external assessment groups"},"topics":["health and care","regulation and standards","data"],"confidence":"verified","confidence_raw":"verified (content); publication date unverified","one_source":false,"as_of":"2026-10-28","rec_table":[],"ext_links":[],"link_texts":[{"kind":"parent","target":"NICE (GOV-DHSC-004)","ids":["GOV-DHSC-004"]},{"kind":"succeeded_by","target":"guidance planned under GOV-DHSC-076","ids":["GOV-DHSC-076"]},{"kind":"related","target":"GOV-DHSC-076","ids":["GOV-DHSC-076"]}],"div_label":"National Institute for Health and Care Excellence","degree":2,"related_ids":["GOV-DHSC-004","GOV-DHSC-076"]},{"id":"GOV-DHSC-078","name":"NHS England Ambient Voice Technology (AVT) Supplier Registry","type":"Governance and assurance","category":"Health","affiliation":"Ministerial department","status_group":"live","status":"live — 2026-01-16","function":"A national, self-certified list of 19 suppliers of ambient voice technology (AI tools that record clinician–patient conversations and draft transcripts and clinical summaries), published 16 January 2026, with a store of supporting evidence. Suppliers must meet standards on clinical safety, technology and data protection, hold at least MHRA Class I registration and complete DTAC. It is not a commercial framework: each NHS body buys under its own rules. NHS England makes only preliminary completion checks and does not endorse listed suppliers. The supplier names were not given on the pages read.","composition":"","parent":"NHS England (to transfer to DHSC under the Health Bill)","parent_research":"NHS England (to transfer to DHSC under the Health Bill)","relationships":"","notes":"Added or updated by Supplement 1 (edition 2.1).","checked":"2026-10-28","website":[],"sources":["https://www.england.nhs.uk/2026/01/nhs-backs-ai-notetaking-free-up-more-face-to-face-care/","https://www.england.nhs.uk/long-read/guidance-on-the-use-of-ai-enabled-ambient-scribing-products-in-health-and-care-settings/"],"source_quotes":[{"url":"https://www.england.nhs.uk/2026/01/nhs-backs-ai-notetaking-free-up-more-face-to-face-care/","quotes":["NHS organisations across England are being urged to take advantage of a new national registry of 19 suppliers","This is not a commercial framework."],"accessed":"2026-10-28","secondary":false,"raw":""},{"url":"https://www.england.nhs.uk/long-read/guidance-on-the-use-of-ai-enabled-ambient-scribing-products-in-health-and-care-settings/","quotes":["NHS England does not endorse any of the suppliers on the AVT Supplier Registry."],"accessed":"2026-10-28","secondary":false,"raw":""}],"bucket":"gov","depts":[{"dept":"NHS England Transformation Directorate","div":"nhs-england"}],"colleges":[],"directorate":"NHS England Transformation Directorate","previous_parent":null,"parent_changed":null,"head":"Dr Alec Price-Forbes, NHS England National Chief Clinical Information Officer (quoted at launch)","established":"2026-01-16","location":null,"money":null,"supplier_id_guess":"null (19 suppliers, not named on the pages read)","system":null,"rule":null,"topics":["health and care","public-sector adoption","regulation and standards"],"confidence":"verified","confidence_raw":"verified (existence and rules); single_source (launch date and count of 19)","one_source":false,"as_of":"2026-10-28","rec_table":[],"ext_links":[{"kind":"related","id":"GOV-REG-172","name":"Clarification of the regulatory status of ambient voice technologies (29 July 2026)","page":"regulators/mhra","href":"../regulators/mhra/#org=GOV-REG-172","page_label":"MHRA"}],"link_texts":[{"kind":"parent","target":"NHS England","ids":["GOV-DHSC-001"]},{"kind":"related","target":"GOV-DHSC-053","ids":["GOV-DHSC-053"]},{"kind":"related","target":"GOV-DHSC-052 (MHRA clarification on AVT, July 2026)","ids":["GOV-DHSC-052"]},{"kind":"related","target":"GOV-DHSC-080","ids":["GOV-DHSC-080"]}],"div_label":"NHS England","degree":4,"related_ids":["GOV-DHSC-001","GOV-DHSC-053","GOV-DHSC-079","GOV-DHSC-080"]},{"id":"GOV-DHSC-079","name":"National review of clinical risk management standards DCB0129 and DCB0160 (consultation, 2026)","type":"Rules and law","category":"Health","affiliation":"Ministerial department","status_group":"current","status":"current (consultation closed 11 September 2026; response report not yet found) — 2026-09-11","function":"NHS England review of the two mandatory clinical safety standards for health IT, partly because AI, machine learning, ambient voice technologies and algorithmic systems \"require specific governance frameworks that current standards do not adequately address\". Eleven focus groups ran from January to July 2025; a public consultation for manufacturers and users ran from 29 June to 11 September 2026. Proposals: keep mandatory clinical risk management; move to a risk-based, tiered approach like medical device classes; add AI governance and other missing areas; strengthen monitoring after go-live; cut duplication between the two standards. The standards are to be updated, not retired. NHS England will publish a consultation response report; no date given.","composition":"","parent":"NHS England (to transfer to DHSC under the Health Bill)","parent_research":"NHS England (to transfer to DHSC under the Health Bill)","relationships":"","notes":"Added or updated by Supplement 1 (edition 2.1).","checked":"2026-10-28","website":[],"sources":["https://www.engage.england.nhs.uk/patient-safety/national-review-of-clinical-risk-management-standa/","https://www.england.nhs.uk/long-read/national-review-of-clinical-risk-management-standardsdcb0129-and-dcb0160-supporting-information/"],"source_quotes":[{"url":"https://www.engage.england.nhs.uk/patient-safety/national-review-of-clinical-risk-management-standa/","quotes":["artificial intelligence supporting clinical decisions"],"accessed":"2026-10-28","secondary":false,"raw":""},{"url":"https://www.england.nhs.uk/long-read/national-review-of-clinical-risk-management-standardsdcb0129-and-dcb0160-supporting-information/","quotes":["require specific governance frameworks that current standards do not adequately address."],"accessed":"2026-10-28","secondary":false,"raw":""}],"bucket":"rule","depts":[{"dept":"NHS England data and digital functions","div":"nhs-england"}],"colleges":[],"directorate":"NHS England data and digital functions (former NHS Digital, merged 2023)","previous_parent":null,"parent_changed":null,"head":null,"established":"2025-01 (focus groups began)","location":null,"money":null,"supplier_id_guess":null,"system":null,"rule":{"kind":"consultation","stage":"consultation closed","stage_date":"2026-09-11","sponsor":"NHS England","applies_to":"manufacturers (DCB0129) and health and care organisations deploying health IT (DCB0160) in England"},"topics":["regulation and standards","health and care","safety and security"],"confidence":"verified","confidence_raw":"verified (review and AI rationale); single_source (consultation dates)","one_source":false,"as_of":"2026-10-28","rec_table":[],"ext_links":[{"kind":"related","id":"GOV-REG-170","name":"National Commission into the Regulation of AI in Healthcare: recommendations (10 September 2026)","page":"regulators/mhra","href":"../regulators/mhra/#org=GOV-REG-170","page_label":"MHRA"}],"link_texts":[{"kind":"parent","target":"NHS England","ids":["GOV-DHSC-001"]},{"kind":"related","target":"GOV-DHSC-080","ids":["GOV-DHSC-080"]},{"kind":"related","target":"GOV-DHSC-078","ids":["GOV-DHSC-078"]},{"kind":"related","target":"GOV-DHSC-011 (National Commission)","ids":["GOV-DHSC-011"]}],"div_label":"NHS England","degree":3,"related_ids":["GOV-DHSC-001","GOV-DHSC-078","GOV-DHSC-080"]},{"id":"GOV-DHSC-080","name":"Clinical risk management standards DCB0129 and DCB0160 as applied to AI","type":"Rules and law","category":"Health","affiliation":"Ministerial department","status_group":"current","status":"current — 2025-03-04 (last update of NHS England's digital clinical safety assurance guidance)","function":"Two mandatory information standards. DCB0129 covers manufacturers of health IT and asks them to show their products are clinically safe; DCB0160 covers health and care organisations that deploy and use health IT. A clinical safety officer, a registered senior clinician, leads the work (hazard log, clinical safety case). NHS England's ambient scribing guidance applies them directly to AI scribes: the setting must meet DCB0160 and check the supplier has met DCB0129. DTAC, the NHS's supplier assessment, includes them. Both are under review (GOV-DHSC-079).","composition":"","parent":"NHS England","parent_research":"NHS England","relationships":"","notes":"Added or updated by Supplement 1 (edition 2.1).","checked":"2026-10-28","website":[],"sources":["https://www.england.nhs.uk/long-read/digital-clinical-safety-assurance/","https://www.england.nhs.uk/long-read/guidance-on-the-use-of-ai-enabled-ambient-scribing-products-in-health-and-care-settings/","https://www.england.nhs.uk/long-read/medical-devices-and-digital-tools/"],"source_quotes":[{"url":"https://www.england.nhs.uk/long-read/digital-clinical-safety-assurance/","quotes":["designed to help manufacturers of health IT software evidence the clinical safety of their products."],"accessed":"2026-10-28","secondary":false,"raw":""},{"url":"https://www.england.nhs.uk/long-read/guidance-on-the-use-of-ai-enabled-ambient-scribing-products-in-health-and-care-settings/","quotes":["This guidance offers high-level information to assist those adopting ambient scribing products."],"accessed":"2026-10-28","secondary":false,"raw":""},{"url":"https://www.england.nhs.uk/long-read/medical-devices-and-digital-tools/","quotes":["should be mitigated against by using clinical risk management (e.g. DCB0129 and DCB0160)."],"accessed":"2026-10-28","secondary":false,"raw":""}],"bucket":"rule","depts":[{"dept":"NHS England data and digital functions","div":"nhs-england"}],"colleges":[],"directorate":"NHS England data and digital functions (former NHS Digital, merged 2023)","previous_parent":null,"parent_changed":null,"head":null,"established":null,"location":null,"money":null,"supplier_id_guess":null,"system":null,"rule":{"kind":"standard","stage":"in force (under review 2026)","stage_date":"2025-03-04","sponsor":"NHS England","applies_to":"health IT manufacturers and NHS and care organisations in England, including AI products"},"topics":["regulation and standards","health and care","safety and security"],"confidence":"verified","confidence_raw":"verified","one_source":false,"as_of":"2026-10-28","rec_table":[],"ext_links":[],"link_texts":[{"kind":"parent","target":"NHS England","ids":["GOV-DHSC-001"]},{"kind":"related","target":"GOV-DHSC-079","ids":["GOV-DHSC-079"]},{"kind":"related","target":"GOV-DHSC-053","ids":["GOV-DHSC-053"]},{"kind":"related","target":"GOV-DHSC-078","ids":["GOV-DHSC-078"]}],"div_label":"NHS England","degree":4,"related_ids":["GOV-DHSC-001","GOV-DHSC-053","GOV-DHSC-078","GOV-DHSC-079"]},{"id":"GOV-DHSC-081","name":"NHS AI Deployment Platform (AIDP) pilot","type":"Compute and data infrastructure","category":"Health","affiliation":"Ministerial department","status_group":"pilot","status":"pilot (start and end dates not shown on the page read) — null","function":"A central hub that takes X-ray, CT and MRI images from hospital trusts, sends them to AI products and, in live mode, returns marked-up results, so several AI imaging tools can be used through one route. The pilot works with trusts in the East Midlands Radiology Consortium (EMRAD) and the Thames Valley Radiology Network (TVRN). Faculty Science Ltd is the data processor, with sub-processors Cimar (core platform and support), Royal Surrey NHS Foundation Trust (surveillance system) and the AI vendors. AI products named: Lucida Medical (prostate MRI); Lunit, implementing Radiobotics (musculoskeletal X-rays); Lunit (chest X-rays). Images and results are kept for no more than 30 days. NICE's chest X-ray evidence plan describes it as a DHSC pilot in two imaging networks. The privacy notice does not mention the NHS AI Lab.","composition":"","parent":"NHS England and Department of Health and Social Care (joint data controllers)","parent_research":"NHS England and Department of Health and Social Care (joint data controllers)","relationships":"","notes":"Added or updated by Supplement 1 (edition 2.1).","checked":"2026-10-28","website":[],"sources":["https://www.england.nhs.uk/contact-us/privacy-notice/artificial-intelligence-deployment-platform-pilot/","https://www.nice.org.uk/guidance/hte12/resources/evidence-generation-plan-for-artificial-intelligencederived-software-to-analyse-chest-xrays-for-suspected-lung-cancer-in-primary-care-referrals-13186853101/chapter/1-Purpose-of-this-document"],"source_quotes":[{"url":"https://www.england.nhs.uk/contact-us/privacy-notice/artificial-intelligence-deployment-platform-pilot/","quotes":["centralised hub to provide Artificial Intelligence (AI) diagnostic support for radiological imaging in trusts","NHS England and DHSC will be responsible as joint controllers","working with Trusts in East Midlands Radiology Consortium (EMRAD)"],"accessed":"2026-10-28","secondary":false,"raw":""},{"url":"https://www.nice.org.uk/guidance/hte12/resources/evidence-generation-plan-for-artificial-intelligencederived-software-to-analyse-chest-xrays-for-suspected-lung-cancer-in-primary-care-referrals-13186853101/chapter/1-Purpose-of-this-document","quotes":["DHSC is piloting a platform to help deploy multiple AI imaging technologies in radiology, in 2 NHS imaging networks."],"accessed":"2026-10-28","secondary":false,"raw":""}],"bucket":"infra","depts":[{"dept":"NHS England","div":"nhs-england"}],"colleges":[],"directorate":"NHS England","previous_parent":null,"parent_changed":null,"head":null,"established":null,"location":"East Midlands and Thames Valley imaging networks (coordinates not fetched)","money":"see Part 2, MON-088 (contract to Faculty Science, £2,034,755, from the first pass; that notice was not re-opened)","supplier_id_guess":"biz-faculty ; biz-cimar ; biz-lucida-medical ; biz-lunit ; biz-radiobotics","system":{"tool_name":"AI Deployment Platform","owner_body":"NHS England and DHSC","purpose":"route radiology images to certified AI products and return results to trusts","method":"platform hosting third-party AI image analysis","human_oversight":"results returned to trust clinicians","supplier":"Faculty Science (processor); Cimar; Royal Surrey NHS FT; Lucida Medical; Lunit; Radiobotics","registers":"none (no ATRS record found)","register_url":"null","stage":"pilot","first_published":"null"},"rule":null,"topics":["health and care","compute and infrastructure","public-sector adoption"],"confidence":"verified","confidence_raw":"verified (existence and design); single_source (networks, processors, products)","one_source":false,"as_of":"2026-10-28","rec_table":[],"ext_links":[],"link_texts":[{"kind":"parent","target":"NHS England","ids":["GOV-DHSC-001"]},{"kind":"parent","target":"Department of Health and Social Care","ids":[]},{"kind":"buys_from","target":"Faculty Science","ids":[]},{"kind":"partner_of","target":"East Midlands Radiology Consortium","ids":[]},{"kind":"partner_of","target":"Thames Valley Radiology Network","ids":[]},{"kind":"partner_of","target":"Royal Surrey NHS Foundation Trust","ids":[]},{"kind":"related","target":"GOV-DHSC-019","ids":["GOV-DHSC-019"]},{"kind":"related","target":"GOV-DHSC-072","ids":["GOV-DHSC-072"]}],"div_label":"NHS England","degree":4,"related_ids":["GOV-DHSC-001","GOV-DHSC-019","GOV-DHSC-072","GOV-DHSC-073"]},{"id":"GOV-DHSC-082","name":"NHS AI Lab Skunkworks","type":"Programmes and funds","category":"Health","affiliation":"Ministerial department","status_group":"current","status":"current status not verified (programme page blocked by robots rules) — null","function":"A small team inside the NHS AI Lab that ran short proof-of-concept AI projects with NHS and care bodies, sourced through open calls for data-rich problems (blog posts describe a \"Dragon's Den-style\" call and crowdsourcing of projects). Projects included claims prediction for NHS Resolution (GOV-DHSC-083) and predicting long hospital stays. Some work used suppliers from the Home Office's Accelerated Capability Environment.","composition":"","parent":"NHS England (NHS AI Lab; NHSX at the time)","parent_research":"NHS England (NHS AI Lab; NHSX at the time)","relationships":"","notes":"Added or updated by Supplement 1 (edition 2.1).","checked":"2026-10-28","website":[],"sources":["https://transform.england.nhs.uk/ai-lab/explore-all-resources/understand-ai/using-ai-to-support-nhs-resolution-with-negligence-claims-prediction","https://transform.england.nhs.uk/blogs/?tag=ai"],"source_quotes":[{"url":"https://transform.england.nhs.uk/ai-lab/explore-all-resources/understand-ai/using-ai-to-support-nhs-resolution-with-negligence-claims-prediction","quotes":["exists within the NHS AI Lab to support the health and care community to rapidly progress ideas."],"accessed":"2026-10-28","secondary":false,"raw":""},{"url":"https://transform.england.nhs.uk/blogs/?tag=ai","quotes":["Using AI to predict long-term hospital stays: an AI Skunkworks proof of concept","The AI skunkworks team is opening a new Dragon's Den-style opportunity"],"accessed":"2026-10-28","secondary":false,"raw":""}],"bucket":"prog","depts":[{"dept":"NHS AI Lab / NHS AI Team","div":"nhs-england"}],"colleges":[],"directorate":"NHS AI Lab / NHS AI Team","previous_parent":null,"parent_changed":null,"head":"Giuseppe Sollazzo, Head of AI Skunkworks (date not shown)","established":null,"location":null,"money":null,"supplier_id_guess":null,"system":null,"rule":null,"topics":["health and care","public-sector adoption"],"confidence":"verified","confidence_raw":"verified (existence); unverified (current status)","one_source":false,"as_of":"2026-10-28","rec_table":[],"ext_links":[{"kind":"partner_of","id":"GOV-HO-003","name":"Accelerated Capability Environment (ACE)","page":"home-office","href":"../home-office/#org=GOV-HO-003","page_label":"Home Office"}],"link_texts":[{"kind":"parent","target":"GOV-DHSC-045","ids":["GOV-DHSC-045"]},{"kind":"related","target":"GOV-DHSC-083","ids":["GOV-DHSC-083"]},{"kind":"partner_of","target":"Accelerated Capability Environment (Home Office)","ids":["GOV-HO-003"]}],"div_label":"NHS England","degree":2,"related_ids":["GOV-DHSC-045","GOV-DHSC-083"]},{"id":"GOV-DHSC-083","name":"AI Skunkworks: NHS Resolution negligence claims prediction (feasibility study, 2021)","type":"Programmes and funds","category":"Health","affiliation":"Ministerial department","status_group":"closed","status":"closed (10-week study, early 2021) — 2021","function":"A 10-week study with NHS Resolution testing whether machine learning could predict negligence claims, using Accelerated Capability Environment suppliers. The proof of concept beat baseline models but the page says predicting claim rates is \"not yet impactful in improving patient safety\" without more work.","composition":"","parent":"NHS England (NHS AI Lab; NHSX at the time)","parent_research":"NHS England (NHS AI Lab; NHSX at the time)","relationships":"","notes":"Added or updated by Supplement 1 (edition 2.1).","checked":"2026-10-28","website":[],"sources":["https://transform.england.nhs.uk/ai-lab/explore-all-resources/understand-ai/using-ai-to-support-nhs-resolution-with-negligence-claims-prediction"],"source_quotes":[{"url":"https://transform.england.nhs.uk/ai-lab/explore-all-resources/understand-ai/using-ai-to-support-nhs-resolution-with-negligence-claims-prediction","quotes":["the NHS AI Lab Skunkworks team started a rapid feasibility study with NHS Resolution","Although claims prediction was not perfected, the results significantly outperformed baseline models."],"accessed":"2026-10-28","secondary":false,"raw":""}],"bucket":"prog","depts":[{"dept":"NHS AI Lab / NHS AI Team","div":"nhs-england"}],"colleges":[],"directorate":"NHS AI Lab / NHS AI Team","previous_parent":null,"parent_changed":null,"head":null,"established":"2021","location":null,"money":null,"supplier_id_guess":"null (ACE suppliers not named)","system":null,"rule":null,"topics":["health and care","policing and justice","data"],"confidence":"single_source","confidence_raw":"single_source","one_source":true,"as_of":"2026-10-28","rec_table":[],"ext_links":[{"kind":"partner_of","id":"GOV-HO-003","name":"Accelerated Capability Environment (ACE)","page":"home-office","href":"../home-office/#org=GOV-HO-003","page_label":"Home Office"}],"link_texts":[{"kind":"parent","target":"GOV-DHSC-082","ids":["GOV-DHSC-082"]},{"kind":"partner_of","target":"NHS Resolution","ids":[]},{"kind":"partner_of","target":"Accelerated Capability Environment (Home Office)","ids":["GOV-HO-003"]}],"div_label":"NHS England","degree":2,"related_ids":["GOV-DHSC-045","GOV-DHSC-082"]},{"id":"GOV-DHSC-084","name":"NHS Privacy Enhancing Technology contract for the Federated Data Platform (IQVIA)","type":"Partnerships","category":"Health","affiliation":"Ministerial department","status_group":"current","status":"current — 2023-11","function":"The contract for privacy enhancing technology that sits alongside the Federated Data Platform, awarded by NHS England to IQVIA in November 2023. Value and term not stated on the page read.","composition":"","parent":"NHS England","parent_research":"NHS England","relationships":"","notes":"Added or updated by Supplement 1 (edition 2.1).","checked":"2026-10-28","website":[],"sources":["https://www.england.nhs.uk/digitaltechnology/nhs-federated-data-platform/fdp-faqs/"],"source_quotes":[{"url":"https://www.england.nhs.uk/digitaltechnology/nhs-federated-data-platform/fdp-faqs/","quotes":["The NHS Privacy Enhancing Technology contract was awarded to IQVIA in November 2023."],"accessed":"2026-10-28","secondary":false,"raw":""}],"bucket":"part","depts":[{"dept":"NHS England Federated Data Platform","div":"nhs-england"}],"colleges":[],"directorate":"NHS England Federated Data Platform","previous_parent":null,"parent_changed":null,"head":null,"established":"2023-11","location":null,"money":"null (value not stated on the page read)","supplier_id_guess":"biz-iqvia","system":null,"rule":null,"topics":["data","health and care"],"confidence":"single_source","confidence_raw":"single_source","one_source":true,"as_of":"2026-10-28","rec_table":[],"ext_links":[],"link_texts":[{"kind":"parent","target":"NHS England","ids":["GOV-DHSC-001"]},{"kind":"related","target":"GOV-DHSC-043","ids":["GOV-DHSC-043"]},{"kind":"buys_from","target":"IQVIA","ids":[]}],"div_label":"NHS England","degree":2,"related_ids":["GOV-DHSC-001","GOV-DHSC-043"]},{"id":"GOV-DHSC-085","name":"Federated Data Platform national solutions and reported benefits (OPTICA, Care Co-ordination Solutions, RTT validation, Cancer 360)","type":"AI systems in use","category":"Health","affiliation":"Ministerial department","status_group":"live","status":"live — 2026-06-12 (benefits mostly as at end of March 2026)","function":"The national products NHS England offers on the FDP and their reported results. Inpatient Care Co-ordination Solution (waiting list and theatres modules; 37 and 39 trusts; 111,589 extra patients had theatre procedures). Outpatient Care Co-ordination Solution (16 trusts realising benefits). Referral to Treatment validation tool (27 trusts; 4,687,428 records reviewed; 993,477 people removed from waiting lists for various reasons). OPTICA, a discharge tracking tool (25 trusts; average delays for stays of 21 days or more down 15.25%; 348,084 patients discharged with its help). Cancer 360 (5 trusts; 93,691 patient pathways). The pages read do not describe any of these as AI tools; NHS England calls the platform a foundation for future AI tools. A \"Solution Exchange\" lets other suppliers offer apps on the platform.","composition":"","parent":"NHS England","parent_research":"NHS England","relationships":"","notes":"Added or updated by Supplement 1 (edition 2.1).","checked":"2026-10-28","website":[],"sources":["https://www.england.nhs.uk/digitaltechnology/nhs-federated-data-platform/impact/fdp-uptake-and-benefits/","https://www.england.nhs.uk/digitaltechnology/nhs-federated-data-platform/fdp-faqs/"],"source_quotes":[{"url":"https://www.england.nhs.uk/digitaltechnology/nhs-federated-data-platform/impact/fdp-uptake-and-benefits/","quotes":["The data below was updated on 12 June 2026. The next update will be in September 2026.","Freeing up clinical staff time by eliminating the need for unnecessary administrative tasks."],"accessed":"2026-10-28","secondary":false,"raw":""},{"url":"https://www.england.nhs.uk/digitaltechnology/nhs-federated-data-platform/fdp-faqs/","quotes":["the platform serves as a foundation for future innovation, including AI tools."],"accessed":"2026-10-28","secondary":false,"raw":""}],"bucket":"system","depts":[{"dept":"NHS England Federated Data Platform","div":"nhs-england"}],"colleges":[],"directorate":"NHS England Federated Data Platform","previous_parent":null,"parent_changed":null,"head":null,"established":null,"location":null,"money":null,"supplier_id_guess":"biz-palantir","system":{"tool_name":"FDP national solutions","owner_body":"NHS England / NHS trusts","purpose":"waiting list management, theatre scheduling, discharge tracking, cancer pathway tracking","method":"data integration and analytics on Palantir Foundry (no AI method stated)","human_oversight":"staff act on outputs","supplier":"Palantir Technologies UK (platform)","registers":"none","register_url":"null","stage":"Production","first_published":"null"},"rule":null,"topics":["data","health and care","public-sector adoption"],"confidence":"verified","confidence_raw":"verified (product names); single_source (benefit figures, NHS England's own reporting)","one_source":false,"as_of":"2026-10-28","rec_table":[],"ext_links":[],"link_texts":[{"kind":"parent","target":"GOV-DHSC-043","ids":["GOV-DHSC-043"]},{"kind":"buys_from","target":"Palantir Technologies UK","ids":[]}],"div_label":"NHS England","degree":1,"related_ids":["GOV-DHSC-043"]},{"id":"GOV-DHSC-086","name":"AI lung nodule risk scoring with robotic bronchoscopy pilot (Optellum and Intuitive Ion, Guy's and St Thomas')","type":"Programmes and funds","category":"Health","affiliation":"Ministerial department","status_group":"pilot","status":"pilot — 2026-01","function":"An NHS pilot combining Optellum's AI risk scoring of lung nodules on scans with Intuitive's Ion robotic bronchoscopy system, so that higher-risk nodules flagged by the AI can be biopsied in one procedure. Led by Guy's and St Thomas' NHS Foundation Trust (formal launch January 2026), expanding to King's College Hospital NHS Foundation Trust and Lewisham and Greenwich NHS Trust. About 300 robotic biopsies had been done, with 215 people going on to cancer treatment. Funded through the NHS Cancer Programme Innovation Open Call (SBRI Healthcare); amount not stated.","composition":"","parent":"NHS England","parent_research":"NHS England","relationships":"","notes":"Added or updated by Supplement 1 (edition 2.1).","checked":"2026-10-28","website":[],"sources":["https://www.england.nhs.uk/2026/01/nhs-launches-trailblazing-ai-and-robot-pilot-to-spot-lung-cancer-sooner/"],"source_quotes":[{"url":"https://www.england.nhs.uk/2026/01/nhs-launches-trailblazing-ai-and-robot-pilot-to-spot-lung-cancer-sooner/","quotes":["first NHS pilot to integrate Optellum's AI risk stratification with Intuitive's Ion robotic bronchoscopy","a glimpse of the future of cancer detection."],"accessed":"2026-10-28","secondary":false,"raw":""}],"bucket":"prog","depts":[{"dept":"NHS England","div":"nhs-england"}],"colleges":[],"directorate":"NHS England (NHS Cancer Programme)","previous_parent":null,"parent_changed":null,"head":null,"established":"2026-01","location":"London (Guy's and St Thomas' NHS Foundation Trust) (coordinates not fetched)","money":"null (funded via SBRI Healthcare NHS Cancer Programme Innovation Open Call; amount not stated)","supplier_id_guess":"biz-optellum ; biz-intuitive","system":null,"rule":null,"topics":["health and care","public-sector adoption"],"confidence":"single_source","confidence_raw":"single_source","one_source":true,"as_of":"2026-10-28","rec_table":[],"ext_links":[],"link_texts":[{"kind":"parent","target":"NHS England","ids":["GOV-DHSC-001"]},{"kind":"partner_of","target":"Guy's and St Thomas' NHS Foundation Trust","ids":[]},{"kind":"buys_from","target":"Optellum","ids":[]},{"kind":"buys_from","target":"Intuitive","ids":[]},{"kind":"related","target":"GOV-DHSC-071","ids":["GOV-DHSC-071"]}],"div_label":"NHS England","degree":2,"related_ids":["GOV-DHSC-001","GOV-DHSC-071"]},{"id":"GOV-DHSC-087","name":"MHRA Yellow Card AI tool (Genpact) for coding suspected adverse-reaction reports","type":"AI systems in use","category":"Health","affiliation":"Ministerial department","status_group":"live","status":"live — 2022-08-19 (latest public MHRA statement; deployed December 2020)","function":"An AI tool that processes the narrative text of Yellow Card reports of suspected adverse drug reactions so they need less manual coding and are ready for scientific analysis sooner. It was brought in for COVID-19 vaccine reports; MHRA says it does not assess the data. Up to 31 July 2022 it had processed 424,180 reports. The latest public MHRA statement found is from August 2022, so current use is not confirmed by a 2026 source.","composition":"","parent":"MHRA","parent_research":"MHRA","relationships":"","notes":"","checked":"2026-10-31","website":[],"sources":["https://www.gov.uk/government/publications/freedom-of-information-responses-from-the-mhra-week-commencing-14-march-2022/freedom-of-information-request-on-the-use-of-artificial-intelligence-ai-in-our-yellow-card-system-when-it-went-live-and-the-impact-it-has-had-on-re","https://www.gov.uk/government/publications/freedom-of-information-responses-from-the-mhra-week-commencing-15-august-2022/freedom-of-information-request-foi-22846"],"source_quotes":[{"url":"https://www.gov.uk/government/publications/freedom-of-information-responses-from-the-mhra-week-commencing-14-march-2022/freedom-of-information-request-on-the-use-of-artificial-intelligence-ai-in-our-yellow-card-system-when-it-went-live-and-the-impact-it-has-had-on-re","quotes":["The MHRA awarded the AI contract in September 2020 and this was subsequently deployed in December 2020.","The tool is not used for assessment of data"],"accessed":"2026-10-31","secondary":false,"raw":""},{"url":"https://www.gov.uk/government/publications/freedom-of-information-responses-from-the-mhra-week-commencing-15-august-2022/freedom-of-information-request-foi-22846","quotes":["All Yellow Card reports relating to COVID-19 vaccines received via the Coronavirus Yellow Card reporting website and Yellow Card App are processed by the AI software.","Up to 31st July 2022 there are 424,180 Yellow Card reports which have been processed by the AI software."],"accessed":"2026-10-31","secondary":false,"raw":""}],"bucket":"system","depts":[{"dept":"Medicines and Healthcare products Regulatory Agency","div":"medicines-and-healthcare-products-regulatory-age"}],"colleges":[],"directorate":"MHRA Vigilance and Risk Management of Medicines Division","previous_parent":null,"parent_changed":null,"head":null,"established":"contract awarded September 2020; deployed December 2020","location":null,"money":"null (contract value not stated in the sources)","supplier_id_guess":null,"system":{"tool_name":"Yellow Card AI tool","owner_body":"MHRA","purpose":"code the narrative text of suspected adverse drug reaction reports","method":"AI natural-language processing (model not named)","human_oversight":"\"The tool is not used for assessment of data\"","supplier":"Genpact","registers":"not on ATRS as of 2026-10-31","register_url":"null","stage":"live","first_published":"2020-12 (deployed)"},"rule":null,"topics":["health and care","public-sector adoption"],"confidence":"verified","confidence_raw":"verified","one_source":false,"as_of":"2026-10-28","rec_table":[],"ext_links":[],"link_texts":[{"kind":"parent","target":"GOV-DHSC-003","ids":["GOV-DHSC-003"]},{"kind":"buys_from","target":"Genpact","ids":[]}],"div_label":"Medicines and Healthcare products Regulatory Agency","degree":1,"related_ids":["GOV-DHSC-003"]}],"links":[{"source":"GOV-DHSC-001","target":"GOV-DHSC-023","kind":"related","evidence":"GOV-DHSC-001 links: related → GOV-DHSC-023 Health Bill"},{"source":"GOV-DHSC-001","target":"GOV-DHSC-002","kind":"related","evidence":"GOV-DHSC-001 links: related → GOV-DHSC-002"},{"source":"GOV-DHSC-002","target":"GOV-DHSC-023","kind":"related","evidence":"GOV-DHSC-002 links: related → GOV-DHSC-023 Health Bill"},{"source":"GOV-DHSC-004","target":"GOV-DHSC-035","kind":"related","evidence":"GOV-DHSC-004 links: related → GOV-DHSC-035"},{"source":"GOV-DHSC-004","target":"GOV-DHSC-036","kind":"related","evidence":"GOV-DHSC-004 links: related → GOV-DHSC-036"},{"source":"GOV-DHSC-004","target":"GOV-DHSC-069","kind":"related","evidence":"GOV-DHSC-004 links: related → GOV-DHSC-069 to GOV-DHSC-077 (NICE AI guidance and AI statements)"},{"source":"GOV-DHSC-004","target":"GOV-DHSC-077","kind":"related","evidence":"GOV-DHSC-004 links: related → GOV-DHSC-069 to GOV-DHSC-077 (NICE AI guidance and AI statements)"},{"source":"GOV-DHSC-004","target":"GOV-DHSC-059","kind":"partner_of","evidence":"GOV-DHSC-004 links: partner_of → AI and Digital Regulations Service (GOV-DHSC-059)"},{"source":"GOV-DHSC-005","target":"GOV-DHSC-033","kind":"related","evidence":"GOV-DHSC-005 links: related → GOV-DHSC-033"},{"source":"GOV-DHSC-006","target":"GOV-DHSC-032","kind":"related","evidence":"GOV-DHSC-006 links: related → GOV-DHSC-032"},{"source":"GOV-DHSC-006","target":"GOV-DHSC-037","kind":"related","evidence":"GOV-DHSC-006 links: related → GOV-DHSC-037"},{"source":"GOV-DHSC-007","target":"GOV-DHSC-029","kind":"related","evidence":"GOV-DHSC-007 links: related → GOV-DHSC-029"},{"source":"GOV-DHSC-007","target":"GOV-DHSC-030","kind":"related","evidence":"GOV-DHSC-007 links: related → GOV-DHSC-030"},{"source":"GOV-DHSC-007","target":"GOV-DHSC-031","kind":"related","evidence":"GOV-DHSC-007 links: related → GOV-DHSC-031"},{"source":"GOV-DHSC-008","target":"GOV-DHSC-038","kind":"related","evidence":"GOV-DHSC-008 links: related → GOV-DHSC-038"},{"source":"GOV-DHSC-009","target":"GOV-DHSC-034","kind":"related","evidence":"GOV-DHSC-009 links: related → GOV-DHSC-034"},{"source":"GOV-DHSC-010","target":"GOV-DHSC-021","kind":"related","evidence":"GOV-DHSC-010 links: related → GOV-DHSC-021 (10 Year Health Plan)"},{"source":"GOV-DHSC-019","target":"GOV-DHSC-024","kind":"related","evidence":"GOV-DHSC-019 links: related → GOV-DHSC-024 (AI Exemplars)"},{"source":"GOV-DHSC-019","target":"GOV-DHSC-072","kind":"related","evidence":"GOV-DHSC-019 links: related → GOV-DHSC-072 (NICE early value assessment: AI chest X-ray software for primary care referrals \"should only be used in research\")"},{"source":"GOV-DHSC-019","target":"GOV-DHSC-081","kind":"related","evidence":"GOV-DHSC-019 links: related → GOV-DHSC-081 (AI Deployment Platform pilot)"},{"source":"GOV-DHSC-020","target":"GOV-DHSC-019","kind":"related","evidence":"GOV-DHSC-020 links: related → GOV-DHSC-019"},{"source":"GOV-DHSC-021","target":"GOV-DHSC-022","kind":"related","evidence":"GOV-DHSC-021 links: related → GOV-DHSC-022"},{"source":"GOV-DHSC-021","target":"GOV-DHSC-001","kind":"related","evidence":"GOV-DHSC-021 links: related → GOV-DHSC-001"},{"source":"GOV-DHSC-022","target":"GOV-DHSC-023","kind":"related","evidence":"GOV-DHSC-022 links: related → GOV-DHSC-023"},{"source":"GOV-DHSC-023","target":"GOV-DHSC-003","kind":"related","evidence":"GOV-DHSC-023 links: related → GOV-DHSC-003"},{"source":"GOV-DHSC-028","target":"GOV-DHSC-001","kind":"parent","evidence":"GOV-DHSC-028 links: parent → NHS England"},{"source":"GOV-DHSC-028","target":"GOV-DHSC-002","kind":"related","evidence":"GOV-DHSC-028 links: related → GOV-DHSC-002"},{"source":"GOV-DHSC-039","target":"GOV-DHSC-001","kind":"parent","evidence":"GOV-DHSC-039 links: parent → NHS England"},{"source":"GOV-DHSC-041","target":"GOV-DHSC-002","kind":"related","evidence":"GOV-DHSC-041 links: related → GOV-DHSC-002"},{"source":"GOV-DHSC-043","target":"GOV-DHSC-001","kind":"parent","evidence":"GOV-DHSC-043 links: parent → NHS England"},{"source":"GOV-DHSC-043","target":"GOV-DHSC-044","kind":"related","evidence":"GOV-DHSC-043 links: related → GOV-DHSC-044"},{"source":"GOV-DHSC-043","target":"GOV-DHSC-065","kind":"related","evidence":"GOV-DHSC-043 links: related → GOV-DHSC-065"},{"source":"GOV-DHSC-043","target":"GOV-DHSC-084","kind":"related","evidence":"GOV-DHSC-043 links: related → GOV-DHSC-084"},{"source":"GOV-DHSC-043","target":"GOV-DHSC-085","kind":"related","evidence":"GOV-DHSC-043 links: related → GOV-DHSC-085"},{"source":"GOV-DHSC-044","target":"GOV-DHSC-001","kind":"parent","evidence":"GOV-DHSC-044 links: parent → NHS England"},{"source":"GOV-DHSC-045","target":"GOV-DHSC-001","kind":"parent","evidence":"GOV-DHSC-045 links: parent → NHS England"},{"source":"GOV-DHSC-045","target":"GOV-DHSC-046","kind":"related","evidence":"GOV-DHSC-045 links: related → GOV-DHSC-046"},{"source":"GOV-DHSC-045","target":"GOV-DHSC-047","kind":"related","evidence":"GOV-DHSC-045 links: related → GOV-DHSC-047"},{"source":"GOV-DHSC-045","target":"GOV-DHSC-048","kind":"related","evidence":"GOV-DHSC-045 links: related → GOV-DHSC-048"},{"source":"GOV-DHSC-045","target":"GOV-DHSC-082","kind":"related","evidence":"GOV-DHSC-045 links: related → GOV-DHSC-082"},{"source":"GOV-DHSC-045","target":"GOV-DHSC-083","kind":"related","evidence":"GOV-DHSC-045 links: related → GOV-DHSC-083"},{"source":"GOV-DHSC-046","target":"GOV-DHSC-061","kind":"partner_of","evidence":"GOV-DHSC-046 links: partner_of → Accelerated Access Collaborative"},{"source":"GOV-DHSC-046","target":"GOV-DHSC-049","kind":"related","evidence":"GOV-DHSC-046 links: related → GOV-DHSC-049"},{"source":"GOV-DHSC-047","target":"GOV-DHSC-048","kind":"related","evidence":"GOV-DHSC-047 links: related → GOV-DHSC-048"},{"source":"GOV-DHSC-049","target":"GOV-DHSC-001","kind":"parent","evidence":"GOV-DHSC-049 links: parent → NHS England"},{"source":"GOV-DHSC-050","target":"GOV-DHSC-051","kind":"related","evidence":"GOV-DHSC-050 links: related → GOV-DHSC-051"},{"source":"GOV-DHSC-053","target":"GOV-DHSC-021","kind":"related","evidence":"GOV-DHSC-053 links: related → GOV-DHSC-021"},{"source":"GOV-DHSC-053","target":"GOV-DHSC-024","kind":"related","evidence":"GOV-DHSC-053 links: related → GOV-DHSC-024"},{"source":"GOV-DHSC-053","target":"GOV-DHSC-078","kind":"related","evidence":"GOV-DHSC-053 links: related → GOV-DHSC-078"},{"source":"GOV-DHSC-053","target":"GOV-DHSC-080","kind":"related","evidence":"GOV-DHSC-053 links: related → GOV-DHSC-080"},{"source":"GOV-DHSC-055","target":"GOV-DHSC-056","kind":"related","evidence":"GOV-DHSC-055 links: related → GOV-DHSC-056"},{"source":"GOV-DHSC-057","target":"GOV-DHSC-026","kind":"related","evidence":"GOV-DHSC-057 links: related → GOV-DHSC-026"},{"source":"GOV-DHSC-059","target":"GOV-DHSC-007","kind":"partner_of","evidence":"GOV-DHSC-059 links: partner_of → Care Quality Commission"},{"source":"GOV-DHSC-059","target":"GOV-DHSC-008","kind":"partner_of","evidence":"GOV-DHSC-059 links: partner_of → Health Research Authority"},{"source":"GOV-DHSC-060","target":"GOV-DHSC-021","kind":"related","evidence":"GOV-DHSC-060 links: related → GOV-DHSC-021"},{"source":"GOV-DHSC-060","target":"GOV-DHSC-043","kind":"related","evidence":"GOV-DHSC-060 links: related → GOV-DHSC-043"},{"source":"GOV-DHSC-060","target":"GOV-DHSC-022","kind":"related","evidence":"GOV-DHSC-060 links: related → GOV-DHSC-022"},{"source":"GOV-DHSC-061","target":"GOV-DHSC-001","kind":"parent","evidence":"GOV-DHSC-061 links: parent → NHS England"},{"source":"GOV-DHSC-061","target":"GOV-DHSC-045","kind":"related","evidence":"GOV-DHSC-061 links: related → GOV-DHSC-045"},{"source":"GOV-DHSC-062","target":"GOV-DHSC-003","kind":"related","evidence":"GOV-DHSC-062 links: related → GOV-DHSC-003"},{"source":"GOV-DHSC-064","target":"GOV-DHSC-005","kind":"parent","evidence":"GOV-DHSC-064 links: parent → UK Health Security Agency"},{"source":"GOV-DHSC-064","target":"GOV-DHSC-033","kind":"related","evidence":"GOV-DHSC-064 links: related → GOV-DHSC-033"},{"source":"GOV-DHSC-065","target":"GOV-DHSC-001","kind":"related","evidence":"GOV-DHSC-065 links: related → NHS England"},{"source":"GOV-DHSC-068","target":"GOV-DHSC-019","kind":"parent","evidence":"GOV-DHSC-068 links: parent → GOV-DHSC-019"},{"source":"GOV-DHSC-069","target":"GOV-DHSC-019","kind":"related","evidence":"GOV-DHSC-069 links: related → GOV-DHSC-019 (AI diagnostics roll-out)"},{"source":"GOV-DHSC-070","target":"GOV-DHSC-004","kind":"parent","evidence":"GOV-DHSC-070 links: parent → NICE (GOV-DHSC-004)"},{"source":"GOV-DHSC-071","target":"GOV-DHSC-004","kind":"parent","evidence":"GOV-DHSC-071 links: parent → NICE (GOV-DHSC-004)"},{"source":"GOV-DHSC-071","target":"GOV-DHSC-086","kind":"related","evidence":"GOV-DHSC-071 links: related → GOV-DHSC-086 (AI lung nodule risk pilot)"},{"source":"GOV-DHSC-072","target":"GOV-DHSC-004","kind":"parent","evidence":"GOV-DHSC-072 links: parent → NICE (GOV-DHSC-004)"},{"source":"GOV-DHSC-072","target":"GOV-DHSC-068","kind":"related","evidence":"GOV-DHSC-072 links: related → GOV-DHSC-068"},{"source":"GOV-DHSC-072","target":"GOV-DHSC-081","kind":"related","evidence":"GOV-DHSC-072 links: related → GOV-DHSC-081"},{"source":"GOV-DHSC-073","target":"GOV-DHSC-004","kind":"parent","evidence":"GOV-DHSC-073 links: parent → NICE (GOV-DHSC-004)"},{"source":"GOV-DHSC-073","target":"GOV-DHSC-081","kind":"related","evidence":"GOV-DHSC-073 links: related → GOV-DHSC-081 (Radiobotics musculoskeletal X-ray AI also on the AI Deployment Platform pilot)"},{"source":"GOV-DHSC-074","target":"GOV-DHSC-004","kind":"parent","evidence":"GOV-DHSC-074 links: parent → NICE (GOV-DHSC-004)"},{"source":"GOV-DHSC-075","target":"GOV-DHSC-004","kind":"parent","evidence":"GOV-DHSC-075 links: parent → NICE (GOV-DHSC-004)"},{"source":"GOV-DHSC-076","target":"GOV-DHSC-004","kind":"parent","evidence":"GOV-DHSC-076 links: parent → NICE (GOV-DHSC-004)"},{"source":"GOV-DHSC-076","target":"GOV-DHSC-077","kind":"related","evidence":"GOV-DHSC-076 links: related → GOV-DHSC-077"},{"source":"GOV-DHSC-076","target":"GOV-DHSC-059","kind":"related","evidence":"GOV-DHSC-076 links: related → GOV-DHSC-059 (AIDRS)"},{"source":"GOV-DHSC-076","target":"GOV-DHSC-035","kind":"related","evidence":"GOV-DHSC-076 links: related → GOV-DHSC-035"},{"source":"GOV-DHSC-076","target":"GOV-DHSC-036","kind":"related","evidence":"GOV-DHSC-076 links: related → GOV-DHSC-036"},{"source":"GOV-DHSC-078","target":"GOV-DHSC-001","kind":"parent","evidence":"GOV-DHSC-078 links: parent → NHS England"},{"source":"GOV-DHSC-078","target":"GOV-DHSC-080","kind":"related","evidence":"GOV-DHSC-078 links: related → GOV-DHSC-080"},{"source":"GOV-DHSC-079","target":"GOV-DHSC-001","kind":"parent","evidence":"GOV-DHSC-079 links: parent → NHS England"},{"source":"GOV-DHSC-079","target":"GOV-DHSC-080","kind":"related","evidence":"GOV-DHSC-079 links: related → GOV-DHSC-080"},{"source":"GOV-DHSC-079","target":"GOV-DHSC-078","kind":"related","evidence":"GOV-DHSC-079 links: related → GOV-DHSC-078"},{"source":"GOV-DHSC-080","target":"GOV-DHSC-001","kind":"parent","evidence":"GOV-DHSC-080 links: parent → NHS England"},{"source":"GOV-DHSC-081","target":"GOV-DHSC-001","kind":"parent","evidence":"GOV-DHSC-081 links: parent → NHS England"},{"source":"GOV-DHSC-082","target":"GOV-DHSC-083","kind":"related","evidence":"GOV-DHSC-082 links: related → GOV-DHSC-083"},{"source":"GOV-DHSC-084","target":"GOV-DHSC-001","kind":"parent","evidence":"GOV-DHSC-084 links: parent → NHS England"},{"source":"GOV-DHSC-086","target":"GOV-DHSC-001","kind":"parent","evidence":"GOV-DHSC-086 links: parent → NHS England"},{"source":"GOV-DHSC-087","target":"GOV-DHSC-003","kind":"parent","evidence":"GOV-DHSC-087 links: parent → GOV-DHSC-003"}],"placement_method":{"tree":64,"root":11,"head":2}}