Training Future Health and Information Technologies Professionals on the European Health Data Space.
Clinical Snapshot
PICO Framework
| P — Population | Health and information technology students at University of Oulu |
| I — Intervention | Structured educational intervention on European Health Data Space (EHDS) including training sessions, practical examples, and interactive discussions |
| C — Comparator | Pre-intervention baseline knowledge and understanding |
| O — Outcomes | Changes in awareness, understanding, and preparedness regarding EHDS systems and policies; conceptual understanding of primary vs secondary health data uses |
Bottom Line
This educational evaluation study examined the impact of EHDS training for health and IT students at a Finnish university. While addressing an important educational gap, the study suffers from significant methodological limitations including lack of control group, unclear outcome measurement, and insufficient statistical reporting. The abstract provides minimal quantitative data, making it impossible to assess the magnitude or significance of reported improvements. The single-centre design and European-specific content limit generalisability to Australian contexts, where different digital health frameworks apply. Although the concept of integrating health data governance into curricula is valuable, this study provides insufficient evidence to guide educational policy decisions. More rigorous evaluation with validated instruments, control groups, and detailed statistical analysis would be needed to establish the effectiveness of such interventions.
Key Findings
P Value: Not reported
Effect Size: Not quantified
Primary Outcome: Significant gains in students' conceptual understanding of EHDS
Nnt Or Sensitivity: Not applicable - educational intervention study
Confidence Interval: Not reported
Clinical Application
Educational interventions are generally feasible but require curriculum integration and faculty training Limited direct applicability as Australia has different digital health frameworks (My Health Record, Australian Digital Health Agency) compared to EHDS, though principles of health data governance education remain relevant Health and information technology students in higher education
Abstract
The European Health Data Space (EHDS) furthers the EU's digital health transformation by enabling secure access to electronic health data by facilitating environments for health data sharing. The topic of EHDS is relatively new and remains underrepresented in most academic curricula in both medical and informatics fields. This study evaluates the impact of a structured educational intervention to improve awareness, understanding, and preparedness among future health and information technology professionals to engage with EHDS-related systems and policies. Conducted at the University of Oulu, the intervention included training sessions, practical examples, and interactive discussions on topics such as the primary and secondary uses of health data, legal frameworks, and technical infrastructure. The survey's results showed significant gains in students' conceptual understanding of EHDS, particularly in distinguishing between primary and secondary uses of health data. We found that students with a European background reported slightly higher familiarity with EHDS-related rights and frameworks. The findings underscore the importance of embedding EHDS education in academic programs to build a digitally competent, informed workforce capable of supporting EHDS implementation. This intervention contributes to the portfolio of learning materials, developed by the SUSA project to integrate digital health policy and governance into multidisciplinary higher education curricula across the EU.
Related Research
Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association
Artificial Intelligence Tools for Gastrointestinal Research: A Practical Guide
2 Aug 2026
Artificial intelligence in medicine
Artificial intelligence language models for medical text analysis: A systematic review
2 Aug 2026
Surgery
Artificial intelligence to revolutionize surgical decision-making is still just around the corner.
1 Aug 2026
This content is for educational purposes for healthcare professionals only and does not constitute clinical advice. Clinical decisions should be based on individual patient assessment, current guidelines, and appropriate specialist consultation. Editorial Standards · Privacy Policy · Terms of Service