Personalized Health Technology

Personalized Health Technology is basic to creating the 21st century healthcare delivery model which is participatory, personalized, predictive, and preventive.

The group on Personalized Health Technology researches the design, construction, evaluations, and clinical implementation and use of personalized technologies, which can be used by citizens and patients for predictive, preventive, diagnostics, treatment, and care purposes. The group researches digital health technologies in a broad sense, ranging from embedded and wearable sensors ("Health IoT"), to large scale software architectures for data collection and management of personal health and behavioral data, to machine learning techniques for disease prediction, to human-computer interaction for the design of such personal health technologies. 

Most of our research is taking place as part of the Copenhagen Center for Health Technology (CACHET). The research and innovation focus of CACHET can be summarized in the figure below.


The group work with a wide range of companies and healthcare organizations, such as the hospital in the Copenhagen area as well as the City of Copenhagen. Our research is supported by a number of funding agencies, as shown below.


Jakob Eyvind Bardram
Sektionsleder, Professor
DTU Sundhedsteknologi
45 25 53 11