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An IoT Cloud Model for Diabetes Home-Based Care: A Case Study for Perceived Future Feasibility
Blekinge Institute of Technology, Sweden.
Blekinge Institute of Technology, Sweden.
Blekinge Institute of Technology, Sweden.
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).ORCID iD: 0000-0002-8097-6390
2021 (English)In: Enhanced Telemedicine and e-Health: Advanced IoT Enabled Soft Computing Framework / [ed] Gonçalo Marques;Akash Kumar Bhoi;Isabel de la Torre Díez;Begonya Garcia-Zapirain, Springer, 2021, p. 99-115Chapter in book (Refereed)
Abstract [en]

Recently, the care of chronic disease has become a worldwide challenge. Although the healthcare domain has begun to adopt new ICT technologies such as the Internet of Things and cloud computing, it is still in its initial phase. In this chapter, the authors conduct a small-scale two-step case study of diabetes care in Blekinge, Sweden. The first step is intended to acquire insight into the actual care situation to improve the original conceptual model. In the second step, we validate the feasibility of the improved model working in real healthcare. The results show that the Internet of Things and cloud computing is acceptable by both healthcare providers and recipients for home-based chronic diseases healthcare with little concerns of security and privacy in the future. In our hybrid cloud model, hospitals and primary healthcare centers could continue using their own exciting databases as private clouds. The best approach for home-based healthcare data is to collect it by connecting the different devices directly and storing and processing them in public clouds. To realize this model in the future, we suggest that a professional IT healthcare education team should be created to support both healthcare providers and recipients.

Place, publisher, year, edition, pages
Springer, 2021. p. 99-115
Series
Studies in Fuzziness and Soft Computing, ISSN 1434-9922, E-ISSN 1860-0808 ; 410
Keywords [en]
Chronic disease, Diabetes, Home-based care, Hybrid cloud, IoT, Mobile apps
National Category
Computer Sciences
Research subject
Computer and Information Sciences Computer Science, Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-112676DOI: 10.1007/978-3-030-70111-6_5Scopus ID: 2-s2.0-85105645152ISBN: 9783030701109 (print)ISBN: 9783030701116 (electronic)OAI: oai:DiVA.org:lnu-112676DiVA, id: diva2:1656707
Available from: 2022-05-06 Created: 2022-05-06 Last updated: 2022-05-06Bibliographically approved

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Lundberg, Jenny

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