DIGITAL Lump Sum GrantsOpenDIGITAL-2026-SKILLS-10-DIGITAL-HEALTH-STEP

Advanced Digital Skills for AI Uptake in Health

Digital Europe Programme

Per project€8M

1 phase

Deadline:2026-10-01

FundingLump Sum

💡

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.

🚀

Suggested TRL Range

TRL 6 → 8

Based on programme defaults

Scope Activities (9)

SC1

Expand the offer of education and training in Artificial Intelligence in health jointly designed between higher education and training institutions, research organisations and industry.

SC2

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.

SC3

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.

SC4

Design and deliver the trainings in cooperation with the Apply AI Strategy flagship “European network of AI-powered advanced screening centres”.

SC5

Make training courses available to members of the “European network of AI-powered advanced screening centres” at least quarterly.

SC6

Provide training sessions and material in English and other EU languages, considering the needs of the target audience that need to be established.

SC7

Adapt the training catalogue and content regularly, according to target audience feedback.

SC8

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).

SC9

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.

Expected Outcomes (5)

EO1

Initiatives implemented for the target audience to collect knowledge on learning needs in the area of AI uptake in health.

EO2

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.

EO3

Training catalogue with detailed course planning and timetable, regularly updated.

EO4

Final analysis of the completed training and the achievement level reached in improved skills.

EO5

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.