Real-world data (Module 4 of CAS ETH DCT)
This description is only available in English.
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20.02–20.03.2025
Course dates
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5 days
Duration -
Zurich, online
Location -
EnglishCourse language
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16.02.2025
Registration end
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CHF 3,000
Course fee
Course description
The course provides an overview of the importance of Real-World Data (RWD), different RWD sources, and how RWD can be exploited in healthcare, clinical and personalised health research, as well as in regulatory decision making. It highlights current trends and existing methods for using and analysing RWD.
Date and venue
Course date
20.02–20.03.2025, 5 days
Course dates:
20.02.2025, ETH Zurich, CHN G 46
27.02.2025, online
06.03.2025, ETH Zurich, CHN G 46
13.03.2025, ETH Zurich, CHN G 46
20.03.2025, online
Course location
ETH Zurich and online
Fees
Course fee
CHF 3,000
Employees of ETH Zurich: CH 1,800
General terms and conditions (GTC)
Organiser
Course management
Dr Sabine Goldhahn, MD, Programme Manager of the MAS ETH digital Clinical Research at the Institute of Food, Nutrition and Health, ETH Zurich
Lecturers
- Dr Katrin Crameri, MPH, Co-Lead DigiSanté program of the Federal Department of Home Affairs and Co-Lead Digital Transformation Division, Federal Office of Public Health FOPH
- Professor Catherine Jutzeler, Institute for Translational Medicine, Professor for Biomedical Data Sciences, D-HEST, ETH Zurich
- Dr Sabine Österle, Teamlead Data Interoperability, PHI, SIB Swiss Institute of Bioinformatics, Basel
- Patrick Hirschi, Team Lead Engineering - Clinical Data Platform for Research, University Hospital Zurich
- other RWD experts
Contact
Leopold-Ruzicka-Weg 4
HCP 23.1
8093
Zurich
Responsible body
ETH Zurich, D-HEST
Good to know
Target group
The course is designed for physicians, health care providers, and professionals in start-ups, MedTech and pharma companies, in academia, in clinical research organisations, and patient organisations.
Course language(s)
English
Additional information
Course content
- Overview on different RWD types, source systems of RWD, RWD availability, and challenges related to the use of RWD
- Challenges of RWD; Clinical Data Platforms
- Routine clinical data: Prerequisites for working with health data.
- From data to value: Deep dive in RWD interoperability aspects and semantics; Data models, data standards, ontologies, classifications and Terminologies; FAIR data.
- RWD in Switzerland and abroad.
- Practical exercise with mock datasets
The course includes input lectures and workshops, remote preparation, and blended learning. Complimentary learning material is provided online.
The course is approved by SIWF. Swiss doctors who complete this module will receive 25 credits toward their non-specific continuing education requirements.