The Centre for Digital Health Interventions (CDHI) is a joint initiative of the Department of Management, Technology and Economics at ETH Zurich, the Future Health Technologies Programme at the Singapore-ETH Centre, 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 behavioural, scalable and self-improving digital health interventions (“digital pills”) that are effective and cost-efficient. We conduct digital biomarker and chatbot research and use wearable sensors, mobile applications, social media and other technologies for the prevention and management of chronic and mental illness.

Our digital biomarker research explores novel applications at the intersection of medicine, artificial intelligence, and ubiquitous computing. Our chatbot research explores how conversational agents and voice assistants must be designed to improve adherence to health interventions and thus, to support health-promoting behaviour.

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.


Guest Lecture by Eric Finkelstein on Behavioural Economics for Chronic Disease Prevention and Treatment, 13 January 2022

November 28th, 2021|

Thursday, 13 January 2022, 9:00 am –  10:30 am CEST Zoom: https://ethz.zoom.us/j/69565207351 About Eric Finkelstein Dr. Finkelstein is Professor of Health Services and Systems Research at the [...]

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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 [...]

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Nißen, M.K., Selimi, D., Janssen, A., Rodríguez Cardona, D., Breitner, M.H., Kowatsch, T., von Wangenheim, F., See you soon again, chatbot? A design taxonomy to characterize user-chatbot relationships with different time horizons, Computers in Human Behavior 127(Feb 2022:10704), 10.1016/j.chb.2021.107043. [PDF]

Lehmann, V., Züger, T., Kraus, M., Maritsch, M., Feuerriegel, S., Wortmann, F., Kowatsch, T., Albrecht, C., Bérubé, C., Styger, N., Lagger, S., Laimer, M., Fleisch, E., Stettler, C., Headwind: Design and evaluation of a vehicle hypoglycaemia warning system in diabetes – Results from a driving simulator study, Virtual Day of Biomedical Research, University of Bern.

Lehmann, V., Züger, T., Kraus, M., Maritsch, M., Feuerriegel, S., Wortmann, F., Kowatsch, T., Albrecht, C., Bérubé, C., Styger, N., Lagger, S., Laimer, M., Fleisch, E., Stettler, C., Headwind: Design and Evaluation of a Vehicle Hypoglycemia Warning System in Diabetes – Results from a Driving Simulator Study, Advanced Technologies & Treatments for Diabetes Conference (ATTD).

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Please join the guest Lecture by Mike Martin on 10 December 2021. Prof. Dr. Martin will be speaking about Opportunities for contextualized functional ability detection systems for healthy longevity. Learn more: https://www.c4dhi.org/news/guest-lecture-by-mike-martin-on-opportunities-for-contextualized-functional-ability-detection-systems-for-healthy-longevity-10-december-2021/

Register for the Healthcare of the Future conference on 20 May 2022! The call for papers is open.

The conference is organised by Bern University of Applied Sciences and focuses on the topic of «Digital health – From vision to best practices!» Learn more: https://healthcareofthefuture.ch/

ETH Zurich PhD position in applied computer science/machine learning:

Join our growing Core AI and Biomarkers team as a PhD researcher!

Learn more here: https://www.c4dhi.org/news/join-our-growing-core-ai-and-biomarkers-team-as-a-phd-researcher/
#digitalhealth #machinelearning #phd #research

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