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Thanks to Maaike Kleinsmann, Douwe Atsma and Jeroen Raijmakers for collaborating on making this possible, and to CLICKNL for awarding us with the resources to continue working on data strategies for remote patient monitoring. Very exciting to see the team expanding, especially with talent such as Julian.

Julian will start his research on the topic “Data-Driven Design Methods For System-Level Change From Disease To Vitality: The Case Of Scaling Remote Patient Management Systems”

Data-driven design methods are relatively new, but already promising for improving design processes in the creative industries. In recent years, many theoretical advances have been made in terms of data-driven design methods. Its impact on ‘innovation’, for instance, has been extensively researched and analysed. In addition, data-driven design methods are already widely used in the entertainment, marketing and transportation sectors.

One sector that is increasingly deploying data-driven design methodologies is the healthcare sector. It is particularly interesting and promising for remote patient monitoring (RPM). In RPM, digital technologies are used to collect health-relevant data at one location-such as a patient’s home-and transmit it electronically to healthcare providers at another location. The healthcare provider can assess and advise based on this data. An RPM system can encourage healthier lifestyles.

BOX PROGRAM
In the Netherlands, there is an initiative at the forefront of RPM programmes. The initiative calls itself the ‘BOX’ programme, and is led by the LUMC (Leiden University Medical Centre). The implementation of the programme is led by a collaboration of private and public organisations, including Philips Experience Design and Delft University of Technology. The programme has already produced a number of medical breakthroughs in recent years in the fields of diabetes, covid-19 and heart attacks. Going forward, the programme aims to focus on building a strong knowledge base for scaling up the BOX programme beyond LUMC’s borders.

More specifically, this PPP programme supplement concerns a scale-up of the BOX programme to contexts other than LUMC.

PURPOSE
From the BOX programme, it is possible to develop data-driven design methods that enable RPM development and scalability. Input from the creative industry plays a crucial role in this.

Researcher
Julian Houwen

Julian Houwen ir.