A Networked Intelligent Elderly Care Model Based on Nursing Robots to Achieve Healthy Aging

Area of Science:

• Gerontology
• Robotics
• Artificial Intelligence
• Internet of Things

Background:

• Global populations are aging rapidly, straining current elderly care systems.
• Existing elder care models face significant challenges in meeting the needs of an aging demographic.
• Nursing robots present a promising technological advancement for addressing these care deficits.

Purpose of the Study:

• To outline the current state and potential applications of nursing robots in promoting healthy aging.
• To propose a novel networked intelligent elderly care model.
• To revolutionize global elderly care practices.

Main Methods:

• Integration of big data, artificial intelligence (AI), and the Internet of Things (IoT).
• Development of a networked intelligent elderly care model incorporating nursing robotics.
• Synergistic combination of elderly health monitoring, capability assessment, and intelligent allocation functions.

Main Results:

• The proposed model aims to synergistically combine key functions for comprehensive elderly care.
• Nursing robots, integrated with advanced technologies, can significantly enhance elder care services.
• The model has the potential to revolutionize elderly care practices worldwide.

Conclusions:

• Nursing robots are crucial for addressing the challenges of aging societies.
• A networked intelligent elderly care model integrating AI, IoT, and robotics can promote healthy aging.
• This approach offers a transformative solution for global elderly care.