Transforming Health Education Across Europe
The SUSA Project is an ambitious initiative aimed at reshaping health education in Europe. SUSA brings together 12 leading European higher education institutions, 6 SMEs, a hospital, a research center, and 2 networking organizations from 9 countries, creating a collaborative and interdisciplinary approach to equip health professionals with the digital skills necessary for the future.
What is SUSA?
SUSA (Sustainable Healthcare with Digital Health Data Competence) is an innovative project that will introduce 46 Bachelor’s and Master’s degree programs, along with 16 lifelong learning modules. These programs are tailored to develop essential skills in digital health, artificial intelligence, data analytics, and cybersecurity, addressing the growing demands of the health sector across Europe.
Through the training of 6,558 graduates and the upskilling of 660 professionals, the SUSA project seeks to create a skilled workforce equipped to harness advanced digital health technologies. This will enhance patient care, boost efficiency, and promote sustainability within healthcare systems.
A Collaborative European Project
bringing together a diverse consortium of
12
Higher Education Institutions (HEIs) from 9 European countries
6
SMEs, a research center, a hospital, and two European networking organizations
19
Associated Partners, institutions and organizations supporting ecosystem engagement
The project adopts an innovative co-design and co-delivery approach, with educators, healthcare experts, and digital technology specialists.
The SUSA Educational Framework
The SUSA Project represents a forward-thinking educational model that integrates traditional academic learning with industry-led digital education. It addresses critical gaps in healthcare digital competencies, preparing students to reach key Learning Objectives (LO):
Data Sharing
LO1. Critically evaluate the potential of emerging digital data-driven technologies to improve health outcomes and healthcare systems by considering their effectiveness, ethical implications, feasibility, and impact across diverse populations and contexts.
LO2. Recognize data flows in healthcare system.
LO3. Comply with European values and data regulation, such as EHDS, GDPR, FAIR, trustworthy AI guidelines.
Data Analytics
LO4. Examine the role of data and data quality in trustworthiness of AI and analytics.
LO5. Apply appropriate methods for summarizing, analysing, and visually representing data to support interpretation and decision-making.
Ethics of AI
LO6. Discuss ethical aspects in adoption of AI in decision making.
LO7. Indicate regulation related to adoption and use of AI in health.
Basics of AI
LO8. Explain what AI is and what it is not.
LO9. Differentiate and critically relate major paradigms and approaches within artificial intelligence by understanding their underlying principles, capabilities, and application contexts.
LO10. Explain basic machine learning: supervised learning, unsupervised learning, federated learning and reinforcement learning.
LO11. Examine the potential of diverse digital and biomedical data infrastructures—including connected devices, sensing technologies, imaging, genomic data, and distributed data systems—to generate and mobilize data for care, research, and decision-making.
LO12. Examine the potential of digital infrastructures, such as EHR, patient, registries, robotics, VR/XR.
LO13. Examine challenges and enablers of syntactic and semantic interoperability within health data ecosystems and the role of standards and ontologies.
LO14. Examine sustainability, eco-responsiblity and scalability elements of data sharing and infostructures.
LO15. Distinguish security and privacy challenges in health context.
LO16. Discuss privacy and security challenges and approaches.
LO17. Identify relevant regulative frameworks in Europe and globally.
LO18. Apply accessibility guidelines in health applications.
LO19. Discuss the role of digital health data in global health, such as pandemic response, supporting mobility and achieving equity.
LO20. Analyse impact of digital health, including benefits, limitations, impact to safety and ethical issues.
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Isomursu, M., Bardhi, O., Berler, et al (2025). Advanced Digital Skills for Health Professionals: 20 Joint Learning Objectives. Studies in Health Technology and Informatics, 327, 1084–1085. https://doi.org/10.3233/SHTI250550
How the Project is Conducted
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The Sustainable Healthcare with Digital Health Data Competence (SUSA) initiative brings together students, educators, and healthcare professionals in a collaborative ecosystem, empowering the next generation of leaders to drive data-driven solutions for a more sustainable and efficient healthcare system.