Assistive Artificial Intelligence Technologies for Dementia and Age-Related Cognitive Decline
Project funded by own resources
Project title Assistive Artificial Intelligence Technologies for Dementia and Age-Related Cognitive Decline
Principal Investigator(s) Elger, Bernice Simone
Co-Investigator(s) Jotterand, Fabrice
Stoppe, Gabriela
Kressig, Reto W.
Project Members Ienca, Marcello
Organisation / Research unit Ethik / Bio- und Medizinethik (Elger)
Project start 01.01.2015
Probable end 31.12.2018
Status Active
Abstract

The aging of the European population and the consequent increasing incidence of dementia and age-related cognitive decline pose a major problem for the health-care services in terms of financial management, caregiving burden and rise significant societal and ethical implications.  The proportion of the total European population older than 65 is set to increase from 16.1 % in 2000 to 27.5 % by 2050, while the proportion of the population aged over 80 years (3.6 % in 2000) is expected to reach 10 % by 2050. With population over 65 being >17% of the total population, Switzerland, Germany and Italy are on the front line to face the high costs of long-term care and institutionalization for dementia patients (6 900 000 000 CHF per  year only in Switzerland) and the resulting burden on the health-care system as well as on non-professional caregivers. A promising approach to this emergent crisis is the massive development and deployment of intelligent assistive technologies (e.g. environmental sensors, biosensors, cognitive orthoctics, and advanced integrated systems) that compensate for the physical and sensory deficits that may accompany elders with dementia and age-related cognitive decline and support them in the completion of  Activities of Daily Living  (ADL), in a manner that enables them to stay longer, safely and more independently in the domestic environment. In fact, technologies that can help cognitively impaired elders live at home longer or to maintain more independence in assisted living facilities would provide a “triple-win” effect, improving quality of life of patients, reducing the burden on caregivers and the health-care system and potentially saving significant amounts of money.

While rapid advancements in artificial intelligence, pervasive and ubiquitous computing (PUC) and other advanced trends in software and hardware technology have already led to the commercialization of a number of assistive technologies (ATs) for dementia home-care, little information has been collected so far on the views and attitudes towards these technologies of all major stakeholders, namely patients, family members and professional caregivers.

Aim of this study is threefold: (I) to produce an up-to-date index of intelligent ATs developed for the purposes of dementia home-care; (II) to collect extensive transnational information across Switzerland, Germany and Italy regarding the impact of indexed ATs on the quality of life of users; and (III) to investigate the views, needs and attitudes towards ATs of dementia and cognitive decline patients as well as their professional and non-professional caregivers with particular attention on ethically relevant features including privacy, personhood, autonomy, and safety.

Financed by University funds
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11/12/2018