Digital Transformation of Care in Lifetime Neighbourhoods

Abstract

If we want to achieve an effective digital transformation of neighborhoods, we need to understand the interaction between social determinants of health and emerging ambient technologies. Older adults suffer from frailty and the decline in physical and cognitive functional capacities and, therefore, experience decreased mobility, which can lead to difficulties with activities of daily living. Care settings located in smart buildings supported by Cyber-Physical Systems using the Internet of Things as an infrastructure with embedded Ambient Assisted Living Technologies, Wireless Sensors Networks, Big Data, and Machine Learning can support older adults to stay longer independent in their community and mitigate the risk of events leading to ill health and disability. The central gap found in the literature review is the lack of a common dataset for measurement of values of social determinants of health in various care settings. The paper presents the multistate competing risk model as framework for measurement of values of social determinants of health.