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Designing healthcare systems for earlier diagnosis and prevention of dementia

Published online by Cambridge University Press:  16 May 2024

Coco Newton ,
Jiwon Jung ,
Maaike S. Kleinsmann  and
P. John Clarkson
Coco Newton*
Affiliation:
Delft University of Technology, The Netherlands University of Cambridge, United Kingdom
Jiwon Jung
Affiliation:
Delft University of Technology, The Netherlands Erasmus University Medical Center, The Netherlands
Maaike S. Kleinsmann
Affiliation:
Delft University of Technology, The Netherlands Leiden University Medical Center, The Netherlands
P. John Clarkson
Affiliation:
Delft University of Technology, The Netherlands University of Cambridge, United Kingdom
*
c.c.newton@tudelft.nl

Abstract

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Recent clinical trials have successfully slowed Alzheimer's disease dementia progression, but only in early-stage patients. Society must therefore shift to early diagnosis. By framing this is as an engineering design challenge, we argue that a systems approach will identify solutions by providing the means to validate dementia medical technologies from multiple levels and perspectives: society, government, public health, healthcare, and patient ecosystems. We show that new data-enabled design methods can facilitate these different granularities of thinking and outline the need for designers.

Keywords

dementiaengineering designhealthcare designartificial intelligence (AI)data-driven design
Type
Design for Healthcare
Information
Proceedings of the Design Society , Volume 4: DESIGN 2024 , May 2024 , pp. 1637 - 1646
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2024.

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