Advanced Digital Skills for AI Uptake in Health
Funding for projects developing advanced digital skills training in AI for health professionals and related experts across the EU.
This call supports creating and delivering training programs on AI in health. It targets healthcare professionals and tech experts working in healthcare. Projects should collaborate with education, research, and industry partners and update training regularly.
Likely relevant for
- Higher education institutions
- Vocational education and training providers
- Research organisations
- Healthcare professionals
- Computer and data scientists in healthcare
- Training providers in digital health
Project signals
What it funds
- Design and delivery of advanced digital skills training in AI for health
- Joint development by higher education, VET, research, and industry
- Training content aligned with EU AI and health data policies
- Courses for healthcare professionals and digital experts in health
- Use of European health data infrastructures and synergies with EU4Health and Erasmus+ initiatives
Expected outcomes
- Knowledge collected on AI learning needs in health
- Training programmes and catalogues regularly updated
- Final analysis of training effectiveness and skill improvements
- Landing page on Digital Skills and Jobs Platform showcasing initiatives
Who can apply / participate
- Higher education institutions
- Vocational education and training providers
- Research organisations
- Businesses in digital health sector
- Consortia of above entities
- Collaboration between education, research, and industry partners required
- Eligible countries as per call document section 6
- Check call document section 6 for detailed eligibility conditions
- Specific consortium size and composition requirements
Must check before shortlisting
- Eligibility criteria in call document section 6
- Consortium composition and funding rules
- Language and accessibility requirements
Money
Total budget of approximately €7.8 million for 2 grants in 2026 under DIGITAL Lump Sum Grants.
- Total budget for DIGITAL-2026-SKILLS-10-DIGITAL-HEALTH-STEP — 7800000EURIndicative number of grants: 2
Application notes
- Single-stage submission model.
- Proposal page limits and layout as per call document section 5 and application form Part B.
- Eligibility and admissibility conditions detailed in call document sections 6 and 7.
- Evaluation criteria and award process described in call document sections 8 and 9.
- Legal and financial setup governed by call document section 10 and Model Grant Agreement.
- Prepare proposal following call document and application form templates.
- Submit proposal via Funding & Tenders Portal before deadline.
- Use online manual and IT helpdesk for submission support.
- Check eligibility and consortium requirements carefully.
- Follow page limits and formatting rules strictly.
- Ensure alignment with EU AI and health policies.
Derived from official EU Funding portal source · updated 22 Jun 2026, 14:12 UTC. Use this as a shortlisting aid; the official call text remains authoritative.
Official source text
Fine print from the EU source record. Expand when you need the original wording.
Topic description
Expected Outcome: Deliverables: 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. Objective: The academic offer in the area of advanced digital technologies in the EU is still lagging behind other regions of the world, especially when compared to the United Kingdom or the United States [1] even though the number of both bachelor’s and master’s programmes in the EU has increased through the years. Furthermore, apart from delivering excellent programmes in specific digital technologies, there is also a growing demand for interdisciplinary programmes to equip sector specialists with the digital skills to deploy and use advanced digital technologies. The actions under this topic aim at tackling the lack of academic training offer in advanced digital skills in key digital areas, while triggering a new way of delivering education programmes and training, building partnerships between education and training providers, businesses and research across the EU, and supporting the digital skills necessary for the deployment of digital technologies in strategic sectors. 1 This represents an increase of 8% in the number of bachelor programmes and an increase of 14% in the number of master programmes in the area of advanced digital skills. The dataset by the Joint Research Centre on the ‘Academic offer of advanced digital technologies 2022-2023’ is available here: JRC Data Catalogue - Dataset - European Commission Scope: This topic aims to expand the offer of education and training in Artificial Intelligence in health jointly designed between higher education and training institutions, research organisations and industry. The content must reflect the latest policy developments, notably the Apply AI Strategy [1] and the European Health Data Space [2] . It should cover developments in and application of AI and related digital health technologies. The target audience is healthcare professionals, as well as computer and data scientists, programmers, and software developers working in the healthcare sector. Trainings must reflect the learning needs of the target audience and will vary in depth and technical complexity to accommodate different levels of expertise and learning preferences. To this end, the proposed project(s) should design and deliver the trainings in cooperation with the Apply AI Strategy flagship “European network of AI-powered advanced screening centres” [3]. The training courses should be made available to members of the “European network of AI-powered advanced screening centres” at least quarterly. The training sessions and material should be available in English and other EU languages, considering the needs of the target audience that need to be established. The training catalogue and content should be adapted regularly, according to target audience feedback. Whenever applicable, the projects should 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 [4]. 1 https://digital-strategy.ec.europa.eu/en/policies/apply-ai 2 https://health.ec.europa.eu/ehealth-digital-health-and-care/european-health-data-space-regulation-ehds_en 3 https://digital-strategy.ec.europa.eu/en/policies/apply-ai 4 https://ec.europa.eu/info/funding-tenders/opportunities/portal/screen/opportunities/projects-details/43353764/101056563/ERASMUS2027
Conditions and documents
Conditions
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)
Additional documents:
Support information
For help related to this call, please Write to us . Funding & Tenders Portal FAQ – Submission of proposals . IT Helpdesk – Contact the IT helpdesk for questions such as forgotten passwords, access rights and roles, technical aspects of submission of proposals, etc. Online Manual – Step-by-step online guide through the Portal processes from proposal preparation and evaluation to reporting on your ongoing project. Valid for all 2021-2027 programmes.
Raw budget overview
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