Ji Wenting, Luo Ruzhen, Sun Yumei, Yang Maiping, Liu Yueheng, Chen Hua, Lin Dongmei, Su Ziyi, Tao Guangming, Chen Diansheng, Sun Hongyu
Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
School of Nursing, Tianjin Medical University, Tianjin 300070, China.
Research (Wash D C). 2025 Jan 22;8:0592. doi: 10.34133/research.0592. eCollection 2025.
As global populations become increasingly aged, existing elderly care models are proving insufficient. The development and application of nursing robots have shown potential in addressing the challenges of elder care in aging societies. This perspective outlines current state and potential applications of nursing robots in promoting healthy aging. Given this background, a networked intelligent elderly care model for nursing robots, which integrates technologies such as big data, artificial intelligence, the Internet of Things, and nursing robotics, is proposed. This model would synergistically combine elderly health monitoring, capability assessment, and intelligent allocation functions to revolutionize global elderly care practices and promote healthy aging.
随着全球人口老龄化程度日益加深,现有的老年护理模式已显不足。护理机器人的开发与应用在应对老龄化社会的老年护理挑战方面展现出了潜力。本观点概述了护理机器人在促进健康老龄化方面的现状及潜在应用。在此背景下,提出了一种用于护理机器人的网络化智能老年护理模式,该模式整合了大数据、人工智能、物联网和护理机器人技术等。此模式将协同结合老年人健康监测、能力评估和智能分配功能,以彻底改变全球老年护理实践并促进健康老龄化。