With the aging of the global population and the increase in the burden of chronic diseases, the traditional nursing model faces unprecedented challenges, especially in the context of growing nursing needs and shortage of human resources. Intelligent nursing technology has emerged, aiming to improve the efficiency and quality of nursing services and meet the diverse nursing needs in an aging society through the integration of modern information technology. The intelligent nursing system integrates cloud computing, the Internet of Things, big data, artificial intelligence and other technologies, and realizes personalized, continuous and intelligent nursing services by collecting, analyzing and processing patient health data in real time. The system can predict potential health risks through data analysis and remotely monitor the health status of patients, thereby reducing dependence on human resources and improving the speed of nursing response. In addition, the intelligent nursing system has self-learning and error correction functions, and can continuously optimize nursing plans based on real-time data to provide patients with efficient and comprehensive nursing services. However, although my country's "Internet + nursing service" has made certain progress, it still faces many challenges in terms of imperfect security management system, inconsistent charging standards, and differences in service quality between regions and institutions. This article will explore the current status and challenges of intelligent nursing in an aging society, and propose corresponding countermeasures in order to promote the further development of intelligent nursing technology.