The Center for Digital Health Interventions is a joint initiative of the Department of Management, Technology and Economics at ETH Zurich and the Institute of Technology Management at the University of St. Gallen.

Our interdisciplinary team of computer and social scientists partners with medical experts to design behavioral, scalable and self-improving digital health interventions (“digital pills”) that are effective and cost-efficient and which are based on digital biomarker and digital coaching research. We also initiated and participate in the on-going development of the award-winning open source platform MobileCoach for digital health interventions and ecological momentary assessments.

Our work is published in scientific outlets and as open source software. Consistent with the Swiss Open Research Data initiative and provided there are no legal, ethical or copyright barriers, data from our (clinical) trials is published in open scientific databases for replication purposes and to allow the application of novel data analytical approaches by academia and industry in the future.


Show all news


MobileCoach Open Source Platform

The vision of the MobileCoach platform is to create fully-automated digital interventions. Due to a modular and extendable structure as well as an architecture rooted [...]

Towards a Digital Biomarker for COPD

Chronic obstructive pulmonary disease (COPD) is one of the leading causes of death and affects 251 million people worldwide. In the United States, the direct costs of [...]

Show all projects


Rüegger, D., Stieger, M., Nißen, M.K., Allemand, M., Fleisch, E., Kowatsch, T., How Are Personality States Associated with Smartphone Data?, European Journal of Personality, doi.org/10.1002/per.2309. [PDF]

Schachner, T., Keller, R., von Wangenheim, F., Artificial Intelligence-Based Conversational Agents for Chronic Conditions: Systematic Literature Review, Journal of Medical Internet Research;22(9):e20701, doi.org/10.2196/20701. [PDF]

Rassouli, F., Tinschert, P., Barata, F., Steurer-Stey, C., Fleisch, E., Puhan, M., Baty, F., Kowatsch, T., Brutsche, M., Characteristics of Asthma-related Nocturnal Cough – A Potential New Digital Biomarker, European Respiratory Society International Congress (ERS 2020) (virtual), Barcelona, Spain, September 7-9, 2020. [PDF]

Show all publications


Best practices for authors of healthcare-related artificial intelligence manuscripts: https://www.nature.com/articles/s41746-020-00336-w

How Are Personality States Associated with Smartphone Data? You can find a couple of answers in our latest study published by the European Journal of Personality: https://onlinelibrary.wiley.com/doi/10.1002/per.2309

A short guide for medical professionals in the era of artificial intelligence by Bertalan Meskó & Marton Görög (Nature Digital Medicine): https://www.nature.com/articles/s41746-020-00333-z

Follow Us On Twitter


If you have any open questions, please feel free to contact us.