Wickramasinghe N, Rasmussen B, Bodendorf F, Zoffmann V, Kayser L, Currey J (2020)
Publication Type: Book chapter / Article in edited volumes
Publication year: 2020
Publisher: Springer
Edited Volumes: Delivering Superior Health and Wellness Management with IoT and Analytics
Series: Healthcare Delivery in the Information Age
City/Town: Cham
Book Volume: 9
Pages Range: 555-565
ISBN: 978-3-030-17347-0
DOI: 10.1007/978-3-030-17347-0_27
Today, chronic conditions such as diabetes, obesity and cancer and mental health are dominating the healthcare agendas of most, if not all, OECD countries and many developing countries. The strategies and techniques adopted to effectively treat infectious disease appear not to be as effective in combating these chronic conditions such that the incidence of diabetes, obesity and cancer and mental health are increasing exponentially. Clearly new approaches to care must be developed if we are to address chronic conditions effectively and enable sufferers to still enjoy a high quality of life. This chapter presents the Guided Self-Determination Method as one such approach and illustrates this approach with pilot data from an Australian case study. In addition, a growing opportunity for leveraging the tools and technologies of the IoT (Internet of Things) is highlighted.
APA:
Wickramasinghe, N., Rasmussen, B., Bodendorf, F., Zoffmann, V., Kayser, L., & Currey, J. (2020). Leveraging the IoT to Enable the Guided Self-Determination Method. In Nilmini Wickramasinghe, Freimut Bodendorf (Eds.), Delivering Superior Health and Wellness Management with IoT and Analytics. (pp. 555-565). Cham: Springer.
MLA:
Wickramasinghe, Nilmini, et al. "Leveraging the IoT to Enable the Guided Self-Determination Method." Delivering Superior Health and Wellness Management with IoT and Analytics. Ed. Nilmini Wickramasinghe, Freimut Bodendorf, Cham: Springer, 2020. 555-565.
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