Digital health technology (Module 5 of CAS ETH in DCT)
This description is only available in English.
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27.3–22.5.2025
Course dates
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8 days
Duration
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Zurich, Basel, online
Location -
EnglishCourse language
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12.03.2025
Registration end
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CHF 3,600
Course fee
Course description
Learn how to generate new data from wearables and apps, integrate sensor technology into remote, decentralised trials, and navigate the entire remote monitoring chain – from device selection, integration into a trial, and data handling.
Date and venue
Course date
27.03, 02.04, 03.04, 04.04, 10.04, 08.05, 15.05 and 22.05.2025
Course location
ETH Zurich, Uni Basel and online
Fees
Course fee
CHF 3,600
CHF 1,800 for ETH employees and employees of study project partner
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
- Professor Dr Carlo Menon, Biomedical and Mobile Health Technology Laboratory, D-HEST, ETH Zurich
- Dr Dietmar Schaffarczyk, digital Trial Innovation Platform, ETH Zurich
- Robin Wirz, digital Trial Innovation Platform, ETH Zurich
- Professor Jens Eckstein, University Hospital of Basel
- Chris Gugl, CEO, Evoleen AG, Zurich
- Lukas Geissmann, Leitwert AG
- and further lecturers
Contact
Leopold-Ruzicka-Weg 4
8093
Zurich
Responsible body
ETH Zurich, Department of Health Sciences and Technology (D-HEST)
Good to know
Target group
Medical doctors and other health care providers. Professionals working in the healthcare industry, research institutions, insurance companies, MedTech and pharma companies. Individuals from patient organisations or clinical trial organisations.
Course language(s)
English
Additional information
The course includes input lectures, remote preparation, blended learning, a visit at a clinical Innovation Lab and a technology fair. Participants identify the appropriate technology for their individual clinical research question and go through the necessary steps for technology integration. Experts in the field discuss case studies and provide examples to illustrate challenges and solutions for integrating sensor technology in clinical trials. A hands-on workshop helps understand associated usability, data privacy, and technological barriers.
We recommend to reserve around 40 hours in total for blended learning.