Fostering Artificial Intelligence-based supports for informal caregivers: a systematic review of the literature

Frida Milella, Stefania Bandini
{"title":"Fostering Artificial Intelligence-based supports for informal caregivers: a systematic review of the literature","authors":"Frida Milella, Stefania Bandini","doi":"10.3233/ia-240028","DOIUrl":null,"url":null,"abstract":"Informal or unpaid caregivers, commonly known as family caregivers, are responsible for providing the 80% of long-term care in Europe, which constitutes a significant portion of health and social care services offered to elderly or disabled individuals. However, the demand for informal care among the elderly is expected to outnumber available supply by 2060. The increasing decline in the caregiver-to-patient ratio is expected to lead to a substantial expansion in the integration of intelligent assistance within general care. The aim of this systematic review was to thoroughly investigate the most recent advancements in AI-enabled technologies, as well as those encompassed within the broader category of assistive technology (AT), which are designed with the primary or secondary goal to assist informal carers. The review sought to identify the specific needs that these technologies fulfill in the caregiver’s activities related to the care of older individuals, the identification of caregivers’ needs domains that are currently neglected by the existing AI-supporting technologies and ATs, as well as shedding light on the informal caregiver groups that are primarily targeted by those currently available. Three databases (Scopus, IEEE Xplore, ACM Digital Libraries) were searched. The search yielded 1002 articles, with 24 articles that met the inclusion and exclusion criteria. Our results showed that AI-powered technologies significantly facilitate ambient assisted living (AAL) applications, wherein the integration of home sensors serves to improve remote monitoring for informal caregivers. Additionally, AI solutions contribute to improve care coordination between formal and informal caregivers, that could lead to advanced telehealth assistance. However, limited research on assistive technologies like robots and mHealth apps suggests further exploration. Future AI-based solutions and assistive technologies (ATs) may benefit from a more targeted approach to appeasing specific user groups based on their informal care type. Potential areas for future research also include the integration of novel methodological approaches to improve the screening process of conventional systematic reviews through the automation of tasks using AI-powered technologies based on active learning approach.","PeriodicalId":504988,"journal":{"name":"Intelligenza Artificiale","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Intelligenza Artificiale","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/ia-240028","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Informal or unpaid caregivers, commonly known as family caregivers, are responsible for providing the 80% of long-term care in Europe, which constitutes a significant portion of health and social care services offered to elderly or disabled individuals. However, the demand for informal care among the elderly is expected to outnumber available supply by 2060. The increasing decline in the caregiver-to-patient ratio is expected to lead to a substantial expansion in the integration of intelligent assistance within general care. The aim of this systematic review was to thoroughly investigate the most recent advancements in AI-enabled technologies, as well as those encompassed within the broader category of assistive technology (AT), which are designed with the primary or secondary goal to assist informal carers. The review sought to identify the specific needs that these technologies fulfill in the caregiver’s activities related to the care of older individuals, the identification of caregivers’ needs domains that are currently neglected by the existing AI-supporting technologies and ATs, as well as shedding light on the informal caregiver groups that are primarily targeted by those currently available. Three databases (Scopus, IEEE Xplore, ACM Digital Libraries) were searched. The search yielded 1002 articles, with 24 articles that met the inclusion and exclusion criteria. Our results showed that AI-powered technologies significantly facilitate ambient assisted living (AAL) applications, wherein the integration of home sensors serves to improve remote monitoring for informal caregivers. Additionally, AI solutions contribute to improve care coordination between formal and informal caregivers, that could lead to advanced telehealth assistance. However, limited research on assistive technologies like robots and mHealth apps suggests further exploration. Future AI-based solutions and assistive technologies (ATs) may benefit from a more targeted approach to appeasing specific user groups based on their informal care type. Potential areas for future research also include the integration of novel methodological approaches to improve the screening process of conventional systematic reviews through the automation of tasks using AI-powered technologies based on active learning approach.
为非正规护理人员提供基于人工智能的支持:文献系统回顾
在欧洲,80% 的长期护理由非正规或无偿护理人员(通常称为家庭护理人员)负责提供,这在为老年人或残疾人提供的医疗和社会护理服务中占了很大一部分。然而,预计到 2060 年,老年人对非正式护理的需求将超过现有的供应。照护者与患者的比例不断下降,预计将导致智能辅助在普通照护中的整合范围大幅扩大。本次系统性综述的目的是深入研究人工智能技术的最新进展,以及辅助技术(AT)这一更广泛类别中所包含的技术,这些技术的主要或次要目标是为非正式护理人员提供帮助。这项研究旨在确定这些技术在照顾者照顾老年人的活动中所满足的具体需求,确定目前被现有人工智能支持技术和辅助技术所忽视的照顾者需求领域,并揭示现有技术主要针对的非正规照顾者群体。我们搜索了三个数据库(Scopus、IEEE Xplore 和 ACM 数字图书馆)。共检索到 1002 篇文章,其中 24 篇符合纳入和排除标准。我们的研究结果表明,人工智能技术极大地促进了环境辅助生活(AAL)应用,其中家庭传感器的集成有助于改善非正式护理人员的远程监控。此外,人工智能解决方案还有助于改善正式和非正式护理人员之间的护理协调,从而提供先进的远程医疗协助。然而,对机器人和移动医疗应用程序等辅助技术的研究有限,因此需要进一步探索。未来基于人工智能的解决方案和辅助技术(ATs)可能会受益于更有针对性的方法,根据非正式护理类型来满足特定用户群体的需求。未来研究的潜在领域还包括整合新颖的方法论,通过使用基于主动学习方法的人工智能技术实现任务自动化,从而改进传统系统综述的筛选过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信