Abstract
In 2020, more than 20% of the population in the European Union (EU) was over 65 years of age, according to the statistical office of the EU (eurostat), while the percentage of older people in cities in the industrialized part of the world is expected to pass this level in the following years. This demographic challenge stresses healthcare systems and requires novel self-management solutions. Several apps in use for the management of chronic diseases have the potential, if used in a systematic manner, to provide the necessary means, not only for early prediction and prevention of health deterioration, but also to support evidence based medicine through the sharing of data for secondary use. This paper presents the BONVITA solution, designed specifically for enabling integrated self-care for improving chronic patient’s wellbeing through the provision of a series of visualization options, coherent consent management, and cohort formulation and analysis over available datasets. Despite the fact that it focuses on three chronic conditions (i.e., cardiovascular diseases (CVD), diabetes and chronic obstructive pulmonary disease (COPD)) its modular design enables its deployment into other chronic conditions as well, towards building a scalable and sustainable solution for both healthcare and social care that can be transferable to larger city/ region/ country contexts.
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Kondylakis, H., Kouroubali, A., Katehakis, D.G. (2023). BONVITA: Enabling Integrated Self-Care for Improving Chronic Patient’s Wellbeing. In: Tsanas, A., Triantafyllidis, A. (eds) Pervasive Computing Technologies for Healthcare. PH 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 488. Springer, Cham. https://doi.org/10.1007/978-3-031-34586-9_22
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