Refresher Courses
RC 105 - How to manage data: moving patients' data across hospitals, regions, and countries
Lectures
RC 105 - A. Transferring patients' data across hospitals, regions, and countries: pros and cons
12:21E. Kotter, Freiburg / Germany
Learning Objectives
1. To learn the benefits and risks of patients' data sharing between centres.
2. To discuss the use of novel technologies allowing data sharing.
3. To understand the differences in data policy across hospitals and European countries.
RC 105 - B. Anonymised vs pseudo-anonymised data
15:51T. De Bondt, Antwerp / Belgium
Learning Objectives
1. To learn basic general data protection regulation (GDPR) law concepts.
2. To appreciate the difference between anonymised and pseud-anonymised data.
3. To understand the relevance of anonymisation and pseudo-anonymisation for clinical studies.
RC 105 - C. Management of data for research projects and clinical trials
14:15D. Regge, Turin / Italy
Learning Objectives
1. To learn how to design infrastructures for big projects and multi-centre trials.
2. To appreciate the different researcher roles linked to data in clinical studies.
3. To see practical examples of success stories in research projects.
RC 105 - D. Federated learning: will artificial intelligence models travel to the images?
17:20D. Rubin, Stanford / United States
Learning Objectives
1. To learn about the federated learning concept.
2. To discuss the benefits and risks of federated learning vs centralised repositories.
3. To observe the current technical implementations allowing for practical use of federated learning.
2. To discuss the use of novel technologies allowing data sharing.
3. To understand the differences in data policy across hospitals and European countries.
2. To appreciate the difference between anonymised and pseud-anonymised data.
3. To understand the relevance of anonymisation and pseudo-anonymisation for clinical studies.
2. To appreciate the different researcher roles linked to data in clinical studies.
3. To see practical examples of success stories in research projects.
2. To discuss the benefits and risks of federated learning vs centralised repositories.
3. To observe the current technical implementations allowing for practical use of federated learning.