Friday 14 August 2026
How can digital technology, data and AI help us meet the growing challenges in healthcare?
At the University of Twente, researchers from different disciplines are joining forces to develop eHealth solutions that can make healthcare more proactive, personalised and sustainable.
The Data Management & Biometrics (DMB) group is part of this joint UT effort, contributing its expertise in data management, data science and artificial intelligence.
From data to better healthcare
Digital healthcare generates increasing amounts of data — from patient monitoring and wearable sensors to information collected through digital health applications. Making this data useful, reliable and accessible is an important part of developing effective eHealth solutions.
For DMB, this means exploring how data and AI can support healthcare professionals, improve decision-making and ultimately contribute to better patient care. Just as importantly, these technologies need to be developed with real healthcare needs and practical applications in mind.
The wider UT eHealth initiative brings together researchers, healthcare professionals and technology experts to work on these challenges. The aim is not simply to develop new technology, but to create solutions that can make a meaningful difference in everyday healthcare.
A DMB perspective on eHealth
What does this mean from a data and AI perspective?
Maurice van Keulen, professor in the DMB group, shares his perspective in an individual eHealth interview. His contribution highlights the role that data and AI can play in the development of future healthcare technologies, and the importance of bringing different areas of expertise together.
Working together
The challenges facing healthcare are complex and cannot be solved by technology alone. They require collaboration between different disciplines and, importantly, close cooperation with healthcare professionals and patients.
Through the joint UT eHealth effort, DMB contributes its expertise in data and AI to this multidisciplinary approach, helping to explore how technology can support the healthcare of tomorrow.
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