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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.

LATEST NEWS

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LATEST PROJECTS

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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LATEST PUBLICATIONS

Boateng, G., Santhanam, P., Lüscher, J., Scholz, U., Kowatsch, T., DyMand: An Open-Source Mobile and Wearable System for Assessing Couples’ Dyadic Management of Chronic Diseases, 14th International Conference on Design Science Research in Information Systems and Technology (DESRIST), June 4-6, Worcester, MA, USA. (forthcoming). [PDF]

Tinschert, P., Rassouli, F., Barata, F., Steurer-Stey, C., Fleisch, E., Puhan, M., Brutsche, M., Kowatsch, T., Prevalence of Nocturnal Cough in Asthma and its Potential as a Marker for Asthma Control (MAC) in Combination with Sleep Quality: Protocol of a Smartphone-based, Multi-Centre, Longitudinal Observational Study with Two Stages, BMJ Open;9:e026323. [PDF]

Barata, F., Kipfer, K., Weber, M., Tinschert, P., Fleisch, E., Kowatsch, T., Towards Device-Agnostic Mobile Cough Detection with Convolutional Neural Networks, 7th IEEE International Conference on Healthcare Informatics (ICHI), Beijing, China. (forthcoming).

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LATEST TWEETS

MAX, our digital asthma coach, received the Gold Award and Grand Award at the WorldMediaFestival 2019 in Hamburg, Germany! https://t.co/lXmjWywbb5

We were very proud to present our research around healthcare chatbots and digital biomarker to the Deputy Prime Minister of Singapore and his delegation: https://t.co/YEIpooChz7

Welcome to our new research assistant and doctoral student Caterina Bérubé! She will design and evaluate an in-vehicle hypoglycemia warning system for type-1 diabetes patients: https://t.co/lbVuUQYIRL

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CONTACT US

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

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