The potential for AI to the monitoring and support for caregivers: an urgent tech-social challenge

Marco Albertini, Eva Bei

Research output: Contribution to journalConference articlepeer-review

Abstract

Italy stands at the forefront of a group of high and middle-income countries currently experiencing a relatively swift progression of population ageing. Meeting the social challenges and seizing the opportunities connected with population ageing represents a complex task. The increasing gap between long-term care needs of an older population, and available formal and informal care resources is perhaps one of the most critical challenges posed by the process of population ageing to our social fabric. The actual institutional arrangements characterising long-term care provision in Italy are ill-equipped to face such a challenge. It is in this context that solutions based on both assistive technologies and artificial intelligence appear as a necessary avenue to increase the future social and economic sustainability of population ageing. “Care Sustainability in an Ageing Society” (CaSAS) is part of the larger Age-It national project, which is dedicated to better equipping and preparing Italian society through institutional, economic, social, medical, and technological solutions to face the challenges and meet the opportunities presented by rapid population ageing. Prior research has predominantly focused on utilizing artificial intelligence (AI) and assistive technology (AT) to enhance the capacity and intensity of monitoring the health conditions and activities of care receivers. Some AI applications were also implemented to assist caregivers with advice to provide care tasks or to remember caregiving routines. CaSAS seeks to complement this approach by shifting the focus toward caregivers’ skills, information, and, most importantly, their physical and mental well-being. Both informal and formal caregivers require tailored, specific advice, education, and information to better cope with caregiving tasks and the associated burden. The potential of AI and AT tools is substantial in expanding existing protocols, interventions, and best practices from occasional small-scale experiences to interventions that impact the general population, potentially yielding ground-breaking social impact. The preliminary phases of implementation of the CaSAS research program led to the formulation of five recommendations when planning and utilizing AI and AT solutions in the context of the caregiver-care receiver relation.

Original languageEnglish
Pages (from-to)1-4
Number of pages4
JournalCEUR Workshop Proceedings
Volume3623
StatePublished - 2023
Externally publishedYes
Event4th Italian Workshop on Artificial Intelligence for an Ageing Society, AIxAS 2023 - Rome, Italy
Duration: 9 Nov 2023 → …

Bibliographical note

Publisher Copyright:
© 2023 Copyright for this paper by its authors. Use ermitted under Creative Commons License Attribution 4 0 International (CC BY 4 0)

Funding

This publication was developed within the project funded by Next Generation EU - “Age-It - Ageing well in an ageing society” project (PE0000015), National Recovery and Resilience Plan (NRRP) - PE8 -Mission 4, C2, Intervention 1.3”. The views and opinions expressed are only those of the authors and do not necessarily reflect those of the European Union or the European Commission. Neither the European Union nor the European Commission can be held responsible for them. paragraph in every section does not have first-line indent. Use only styles embedded in the document. This publication was developed within the project funded by Next Generation EU - “Age-It - Ageing well in an ageing society” project (PE0000015), National Recovery and Resilience Plan (NRRP) - PE8 - Mission 4, C2, Intervention 1.3”. The views and opinions expressed are only those of the authors and do not necessarily reflect those of the European Union or the European Commission. Neither the European Union nor the European Commission can be held responsible for them. paragraph in every section does not have first-line indent. Use only styles embedded in the document.

FundersFunder number
National Recovery and Resilience Plan
Next Generation EUPE0000015
European Commission

    Keywords

    • Keywords Artificial intelligence
    • caregiver support
    • caregiving
    • long-term care

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