Abstract

European governments have pushed digitalization of elderly care to meet the challenges with an increasing ageing population. As a result, welfare technologies (WT), as digital safety alarms, are now implemented, generating huge amounts of data which could be used to improve the quality of care. The aim in this explorative study is to analyze and describe the challenges for making use of WT-data in Swedish elderly care. Our qualitative study revealed that making use of WT-data is not a technical issue and suggests that framing the utilization of WT-data from a system innovation perspective is a promising initial move to synergize efforts and lay the groundwork for the more efficient, high-qualitative data-driven elderly care.

Recommended Citation

Kolkowska, E., Lagsten, J., Gao, S. & Andersson, A. (2024). Challenges For Making use of Welfare Technology Generated Data from a System Innovation Perspective. In B. Marcinkowski, A. Przybylek, A. Jarzębowicz, N. Iivari, E. Insfran, M. Lang, H. Linger, & C. Schneider (Eds.), Harnessing Opportunities: Reshaping ISD in the post-COVID-19 and Generative AI Era (ISD2024 Proceedings). Gdańsk, Poland: University of Gdańsk. ISBN: 978-83-972632-0-8. https://doi.org/10.62036/ISD.2024.23

Paper Type

Short Paper

DOI

10.62036/ISD.2024.23

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Challenges For Making use of Welfare Technology Generated Data from a System Innovation Perspective

European governments have pushed digitalization of elderly care to meet the challenges with an increasing ageing population. As a result, welfare technologies (WT), as digital safety alarms, are now implemented, generating huge amounts of data which could be used to improve the quality of care. The aim in this explorative study is to analyze and describe the challenges for making use of WT-data in Swedish elderly care. Our qualitative study revealed that making use of WT-data is not a technical issue and suggests that framing the utilization of WT-data from a system innovation perspective is a promising initial move to synergize efforts and lay the groundwork for the more efficient, high-qualitative data-driven elderly care.