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Decision-support system for cancer rehabilitation: designing for incorporating of quantified data into an existing practice.

Conference paper
Authors Katerina Cerna
Anna Sigridur Islind
Gunnar Steineck
Johan Lundin
Published in Proceedings of the 10th Nordic Conference on Human-Computer Interaction
ISBN 978-1-4503-6437-9
Publisher ACM
Publication year 2018
Published at Institute of Clinical Sciences, Department of Oncology
Department of Applied Information Technology (GU)
Department of Education, Communication and Learning
Language en
Keywords Quantified data ; decision-support system ; clinical practice ; cancer rehabilitation
Subject categories Interaction Technologies


Recent development in self-monitoring devices indicates that using quantified data in clinical practice supporting chronic diseases management holds a big potential. However, exploration of this design space also suggests that some unattended challenges still exist, such as a low adoption rate of self-monitoring tools in existing clinical practice. In this text, we therefore focus on the ways healthcare professionals use quantified data in their practice. We draw on empirical data from an ethnographic study of a cancer rehabilitation center. Our preliminary findings suggest that the self-monitoring tool supported the nurses' work because it became a functional complement to their work by allowing them to appropriate the device to their and the patients' needs.

Page Manager: Webmaster|Last update: 9/11/2012

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