Wearables — From the Pilot Phase to Routine Clinical Use

10.11.2026

At Charité – Universitätsmedizin Berlin, our Wearables project aims to incorporate continuous data from consumer wearables and medical devices into clinical research and, ultimately, routine care. This requires reliable, scalable infrastructure to process longitudinal physiological data, integrate heterogeneous data sources and develop innovative, data-driven healthcare applications. The de.NBI Cloud Berlin site has been an invaluable resource for our research. Its flexible computing infrastructure allows us to develop, deploy and evaluate cloud-native services and data processing workflows, enabling us to focus on our core research objectives rather than managing infrastructure ourselves. The ability to adapt the computing environment to our specific technical requirements is particularly valuable for a project involving continuous data streams, interoperability and scalable analytics. Another major advantage of the de.NBI Cloud is the flexibility provided by OpenStack. It allows us to configure and adapt our virtual infrastructure to the specific needs of our Wearables project, whether that be deploying individual services or orchestrating complex, distributed data processing pipelines. This level of control allows us to experiment with different architectural approaches, integrate various technologies and expand our infrastructure as our research needs change. We particularly value the ability to maintain control over our technical stack while benefiting from a professionally operated cloud environment. This combination of flexibility, scalability and independence is essential for developing robust, cloud-native data analytics solutions. We greatly appreciate the infrastructure and support provided by the Berlin team. The de.NBI Cloud is an exceptional resource for academic research, especially for projects at the intersection of informatics, data engineering, and digital health. We would highly recommend it to other research groups looking to develop and evaluate innovative, data-driven solutions within a flexible, research-oriented environment.

Dr. Elias Grünewald
Dr. Elias Grünewald from Data Analytics, Charité - Universitätsmedizin Berlin