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Data-driven healthcare: critically examining the role of self-care and data-driven decision-making in diabetes management
Journal article   Open access   Peer reviewed

Data-driven healthcare: critically examining the role of self-care and data-driven decision-making in diabetes management

Anna Sigridur Islind and Helena Vallo Hult
Complex systems informatics and modeling quarterly, Vol.2022(33), pp.40-52
2022
Scopus ID: 2-s2.0-85167687492

Abstract

Healthcare Data-driven decision-making Data-driven healthcare Self-management Mobile application Critical research Socio-technical
The use of digital technology for self-care, such as self-management of chronic diseases, hasemerged through mobile applications and wearables, often designed, developed,and used in everyday life outside the healthcare context. The new self-care practices may be beneficial in many ways but can also potentially pose risks, and there is a corresponding need to understand underlying algorithms and biases that may affect users. In this article, we describe the design and development of a mobile app for food nutrition information as part of diabetes self-management and critically discuss its implications for patients and designers.In conclusion, this study highlights the need to carefully consider howself-management tools are designed, developed, and used for self-care. Wepropose co-design to approach data-driven healthcare in general and data-driven decision-making tools in particular. Our findings show that patients needto balance overreliance and mistrust in augmented data-driven decision-making, which calls for ethical considerations and a critical approach for all future designers.
url
https://doi.org/10.7250/csimq.2022-33.03View
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