Abstract
Ambient intelligence is increasingly used for monitoring of health data, which contributes to personalized and preventive healthcare. While efforts regarding well-being in technology-enhanced spaces are currently very much limited to high-income countries, this article explores the cost effectiveness, emerging necessities and existing opportunities to invest to the transfer of this technology to low and middle-income countries as soon as possible. While this transfer is appropriate for the prevention as well as treatment of many diseases, this article focuses on the particularly relevant example of diabetes, which has also become one of the major health challenges in low and middle-income countries.
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Ziesche, S., Motallebi, S. (2013). Personalized Remotely Monitored Healthcare in Low-Income Countries through Ambient Intelligence. In: O’Grady, M.J., et al. Evolving Ambient Intelligence. AmI 2013. Communications in Computer and Information Science, vol 413. Springer, Cham. https://doi.org/10.1007/978-3-319-04406-4_19
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DOI: https://doi.org/10.1007/978-3-319-04406-4_19
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-04405-7
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