Opportunities and challenges of integrating artificial intelligence in China's elderly care services

Author:

Zhao Yongyan,Li Jian

Abstract

AbstractThe challenge of elderly care presents a formidable task, demanding the collective attention of governmental bodies and diverse sectors of society. The integration of Artificial Intelligence (AI) into the research and development of Social Elderly Care Service (ECS) has emerged as a dominant trend, holding substantial importance in the establishment of an efficient ECS system. This study aims to serve as a comprehensive reference for the advancement of China's ECS system, achieved through the harmonious integration of a social ECS system with AI capabilities. This paper introduces the fundamental theory of AI, delving into the intricacies of the greyscale model of AI. Furthermore, it provides an overview of the current landscape of elderly care and elder care institutions, offering scientific data and insights to propel further research on AI development and system construction. Through an analysis of the existing research status, the study identifies prevalent issues within the AI-ECS integration, emphasizing pivotal factors influencing the construction of a robust social ECS system. To address these concerns, the study puts forth specific and viable policy recommendations. Notably, the questionnaire's statistics underscore that 83% of the elderly populace would opt for AI-driven solutions in selecting intelligent products, thereby underscoring the pivotal role of AI within the social ECS system. The challenges facing elderly care systems, including demographic shifts, resource constraints, and evolving societal norms, demand innovative solutions for providing efficient and effective care. This study addresses these challenges by exploring the integration of Artificial Intelligence (AI) into Social Elderly Care Services (ECS) in China. By delving into the theory of AI and assessing the existing research status, the study identifies key issues in AI-ECS integration and proposes viable policy recommendations. Insights from stakeholder surveys further highlight the importance of AI-driven solutions in meeting the needs of the elderly population.

Publisher

Springer Science and Business Media LLC

Reference32 articles.

1. Li, J. J., Zhang, P. L., Ding, Y. X. & Wang, P. N. Family caregivers’ care experience of disabled senile people in rural areas: A qualitative research. Chin. Nurs. Res. 36(14), 2614–2617 (2022).

2. Yang, H. M. Dynamic trend of China’s population ageing and new characteristics of the elderly. Popul. Res. 46(5), 104–116 (2022).

3. Li, Q. Y. & Fang, L. Q. An analysis of the causes of the rise of social pension in developing countries and its implementation effect. J. China Univ. Labor Relat. 34(1), 77–85 (2020).

4. Shao, S. Q. Analysis on influencing factors of choice of social pension services for elderly in China. J. Liaoning Tech. Univ. (Soc. Sci. Ed.) 24(3), 202–209 (2022).

5. Peng, X. Z. & Su, Z. X. Strategic thinking on constructing a high quality elderly care service system. Popul. Dev. 28(6), 17–24 (2022).

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3