Loading…
Strategic Analysis
This call targets the critical need for advanced AI skills in the health sector, demanding a comprehensive, multi-actor approach to education and training. A winning proposal must demonstrate strong collaboration between academia, research, and industry, ensuring curricula are cutting-edge, policy-aligned (especially with the @ApplyAIStrategy and @EuropeanHealthDataSpace), and directly applicable within the @SC4 “European network of AI-powered advanced screening centres”.
Success hinges on delivering accessible, multilingual, and adaptable training that measurably improves skills for diverse healthcare and technical professionals, while actively leveraging existing EU initiatives and fostering the uptake of European health data infrastructures.
TRL 6 → 8
Based on programme defaults
Expand the offer of education and training in Artificial Intelligence in health jointly designed between higher education and training institutions, research organisations and industry.
Ensure the content reflects the latest policy developments, notably the Apply AI Strategy and the European Health Data Space, covering developments in and application of AI and related digital health technologies.
Target healthcare professionals, as well as computer and data scientists, programmers, and software developers working in the healthcare sector, ensuring trainings reflect their learning needs and accommodate different levels of expertise and learning preferences.
Design and deliver the trainings in cooperation with the Apply AI Strategy flagship “European network of AI-powered advanced screening centres”.
Make training courses available to members of the “European network of AI-powered advanced screening centres” at least quarterly.
Provide training sessions and material in English and other EU languages, considering the needs of the target audience that need to be established.
Adapt the training catalogue and content regularly, according to target audience feedback.
Foster the use of the HealthData@EU infrastructure and other European health data infrastructures (Genomic Data Infrastructure, Cancer Image Europe, the European Virtual Human Twins advanced platform, ICU data space).
Explore synergies and build on relevant education and training activities developed and provided in the context of those initiatives, as well as in the relevant projects funded by EU4Health or Erasmus+ providing digital skills training for the health workforce.
Initiatives implemented for the target audience to collect knowledge on learning needs in the area of AI uptake in health.
Training programmes in the area of advanced digital skills for AI uptake in health, designed jointly by higher education institutions, VET providers, research organisations, businesses and other stakeholders in digital health, in collaboration with the network of AI-powered advanced screening centres.
Training catalogue with detailed course planning and timetable, regularly updated.
Final analysis of the completed training and the achievement level reached in improved skills.
A landing page integrated into the Digital Skills and Jobs Platform, showcasing existing and forthcoming education and training initiatives and promoting training offers to the relevant audience.
Tackle the lack of academic training offer in advanced digital skills in key digital areas.
Trigger a new way of delivering education programmes and training.
Build partnerships between education and training providers, businesses and research across the EU.
Support the digital skills necessary for the deployment of digital technologies in strategic sectors.
Apply AI Strategy
highEuropean Health Data Space
highThe European Health Data Space (EHDS) is a framework for the secure and interoperable exchange of health data across the EU. It aims to empower patients, support research and innovation, and improve health system efficiency. The EHDS focuses on primary and secondary use of health data, with strong safeguards for data privacy and security.
Evaluators expect proposals to leverage health data to identify and address low-value care practices, such as unnecessary treatments or inefficiencies in care pathways. Proposals should demonstrate how they will use health data ethically and securely, in line with EHDS principles, to improve care quality and reduce waste. Alignment with interoperability standards, data governance frameworks, and patient empowerment initiatives is essential.
EU4Health
highEU4Health is the EU's ambitious funding programme for health for the 2021-2027 period. It aims to improve and foster health in the Union, protect people from serious cross-border health threats, and strengthen health systems' resilience. The programme supports innovation in health and addresses health inequalities across Member States.
Evaluators will expect proposals to demonstrate how they contribute to the broader objectives of the EU4Health programme, such as strengthening health systems, improving access to healthcare, and fostering innovation in health. Proposals should show how their AI solutions align with EU4Health's priorities, including the digital transformation of health and care, and contribute to a more resilient and accessible healthcare system across the EU.
Erasmus+
mediumErasmus+ is the EU's programme to support education, training, youth, and sport in Europe. It provides opportunities for mobility and cooperation in higher education, vocational education and training, school education, adult education, youth, and sport. Its goal is to modernize education and training systems and promote active citizenship.
While not directly a health programme, Erasmus+ supports skills development and education. Evaluators might expect proposals to consider how the developed advanced digital skills for AI uptake in health could be integrated into educational or training curricula, potentially leveraging Erasmus+ principles for cross-border learning or professional development. This could involve developing training modules, capacity building initiatives, or knowledge transfer programmes.
1. Admissibility conditions — Proposal page limit and layout described in section 5 of the call document . Proposal page limits and layout: described in Part B of the Application Form available in the Submission System.
2. Eligible Countries — described in section 6 of the call document .
3. Other Eligibility Conditions — described in section 6 of the call document .
4. Financial and operational capacity and exclusion — described in section 7 of the call document . 5a. Evaluation and award: Submission and evaluation processes described section 8 of the call document and the Online Manual . 5b. Evaluation and award: Award criteria, scoring and thresholds described in section 9 of the call document .
5c. Evaluation and award: Indicative timeline for evaluation and grant agreement — described in section 4 of the call document .
6. Legal and financial set-up of the grants — described in section 10 of the call document . Call document and annexes: Call document Application form templates Standard application form (DEP) — the application form specific to this call is available in the Submission System Detailed budget table (DEP LSII) Model Grant Agreements (MGA) Lump Sum MGA
DEP Work Programmes DEP Regulation 2021/964 EU Financial Regulation 2024/2509 Rules for Legal Entity Validation, LEAR Appointment and Financial Capacity Assessment EU Grants AGA — Annotated Model Grant Agreement Funding & Tenders Portal Online Manual Funding & Tenders Portal Terms and Conditions Funding & Tenders Portal Privacy Statement
Evaluators will prioritize the consortium's ability to demonstrate a robust, multi-actor approach to curriculum co-design and delivery, directly aligned with the @ApplyAIStrategy and the @EuropeanHealthDataSpace. They will look for concrete plans for engaging the @SC4 “European network of AI-powered advanced screening centres”, ensuring multilingual accessibility (@SC6), continuous content adaptation based on feedback (@SC7), and measurable impact on skill uptake and the deployment of AI in health (@EO4). Strong evidence of leveraging existing EU initiatives (@SC9) and fostering the use of @SC8 European health data infrastructures will be crucial for demonstrating systemic impact.
Everything the call asks for, seen from the call's point of view. Each line shows what answers it, and which partner carries it.
This matrix lists everything the call asks for: outcomes, impacts, scope, the requirements buried in the call text, and policy alignment. Sign up free and GrantForge tracks each line against the concept you build.
| Requirement | Covered by | Carried | Status |
|---|---|---|---|
| Scope activities | |||
| SC1Expand the offer of education and training in Artificial Intelligence in health jointly designed between higher education and training institutions, research organisations and industry. | · | · | Sign up to track |
| SC2Ensure the content reflects the latest policy developments, notably the Apply AI Strategy and the European Health Data Space, covering developments in and application of AI and related digital health technologies. | · | · | Sign up to track |
| SC3Target healthcare professionals, as well as computer and data scientists, programmers, and software developers working in the healthcare sector, ensuring trainings reflect their learning needs and accommodate different levels of expertise and learning preferences. | · | · | Sign up to track |
| SC4Design and deliver the trainings in cooperation with the Apply AI Strategy flagship “European network of AI-powered advanced screening centres”. | · | · | Sign up to track |
| SC5Make training courses available to members of the “European network of AI-powered advanced screening centres” at least quarterly. | · | · | Sign up to track |
| SC6Provide training sessions and material in English and other EU languages, considering the needs of the target audience that need to be established. | · | · | Sign up to track |
| SC7Adapt the training catalogue and content regularly, according to target audience feedback. | · | · | Sign up to track |
| SC8Foster the use of the HealthData@EU infrastructure and other European health data infrastructures (Genomic Data Infrastructure, Cancer Image Europe, the European Virtual Human Twins advanced platform, ICU data space). | · | · | Sign up to track |
| SC9Explore synergies and build on relevant education and training activities developed and provided in the context of those initiatives, as well as in the relevant projects funded by EU4Health or Erasmus+ providing digital skills training for the health workforce. | · | · | Sign up to track |
| Expected outcomes | |||
| EO1Initiatives implemented for the target audience to collect knowledge on learning needs in the area of AI uptake in health. | · | · | Sign up to track |
| EO2Training programmes in the area of advanced digital skills for AI uptake in health, designed jointly by higher education institutions, VET providers, research organisations, businesses and other stakeholders in digital health, in collaboration with the network of AI-powered advanced screening centres. | · | · | Sign up to track |
| EO3Training catalogue with detailed course planning and timetable, regularly updated. | · | · | Sign up to track |
| EO4Final analysis of the completed training and the achievement level reached in improved skills. | · | · | Sign up to track |
| EO5A landing page integrated into the Digital Skills and Jobs Platform, showcasing existing and forthcoming education and training initiatives and promoting training offers to the relevant audience. | · | · | Sign up to track |
| Other requirements | |||
| REQ1Cooperation with European network of AI-powered advanced screening centresProjects should design and deliver training in cooperation with the Apply AI Strategy flagship 'European network of AI-powered advanced screening centres', making courses available to members at least quarterly. | · | · | Sign up to track |
| REQ2Synergies with HealthData@EU and European health data infrastructuresProjects should foster the use of HealthData@EU and other infrastructures (Genomic Data Infrastructure, Cancer Image Europe, European Virtual Human Twins platform, ICU data space) and build on their relevant education and training activities. | · | · | Sign up to track |
| REQ3Synergies with EU4Health and Erasmus+ digital skills projectsProjects must explore synergies and build on training activities developed in relevant projects funded by EU4Health or Erasmus+ that provide digital skills training for the health workforce. | · | · | Sign up to track |
| REQ4Interdisciplinary co-design across higher education, VET, research, and industryProgrammes must be jointly designed between higher education institutions, VET providers, research organisations, businesses, and digital health stakeholders to respond to the demand for interdisciplinary skills. | · | · | Sign up to track |
| REQ5Multilingual training delivery in English and other EU languagesTraining sessions and materials should be available in English and other EU languages based on established target audience needs. | · | · | Sign up to track |
| Expected impacts | |||
| EI1Tackle the lack of academic training offer in advanced digital skills in key digital areas. | · | · | Sign up to track |
| EI2Trigger a new way of delivering education programmes and training. | · | · | Sign up to track |
| EI3Build partnerships between education and training providers, businesses and research across the EU. | · | · | Sign up to track |
| EI4Support the digital skills necessary for the deployment of digital technologies in strategic sectors. | · | · | Sign up to track |
| Underlying policies | |||
| POL1apply ai strategyThe Apply AI Strategy is central to this call, focusing on the deployment of AI in healthcare to improve screening, diagnosis, and patient outcomes. It emphasizes the creation of a European network of AI-powered screening centres. | · | · | Sign up to track |
| POL2european health data spaceThe European Health Data Space (EHDS) is a framework for the secure and interoperable exchange of health data across the EU. It aims to empower patients, support research and innovation, and improve health system efficiency. The EHDS focuses on primary and secondary use of health data, with strong safeguards for data privacy and security. | · | · | Sign up to track |
| POL3eu4healthEU4Health is the EU's ambitious funding programme for health for the 2021-2027 period. It aims to improve and foster health in the Union, protect people from serious cross-border health threats, and strengthen health systems' resilience. The programme supports innovation in health and addresses health inequalities across Member States. | · | · | Sign up to track |
The binding rules of this call. Items marked auto are verified by GrantForge from the call and the template. The others are yours to confirm.
Nothing to show for this call yet.