How to manage data: moving patients' data across hospitals, regions, and countries - ESR Connect

Refresher Courses

RC 105 - How to manage data: moving patients' data across hospitals, regions, and countries

  • 4 Lectures
  • 59 Minutes
  • 4 Speakers

Lectures

1
RC 105 - A. Transferring patients' data across hospitals, regions, and countries: pros and cons

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.

2
RC 105 - B. Anonymised vs pseudo-anonymised data

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.

3
RC 105 - C. Management of data for research projects and clinical trials

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.

4
RC 105 - D. Federated learning: will artificial intelligence models travel to the images?

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.

Speakers

Presenter

Elmar Kotter

Freiburg, Germany

Presenter

Timo De Bondt

Antwerp, Belgium

Presenter

Daniele Regge

Torino, Italy

Presenter

Daniel Rubin

Stanford, United States

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