Recently, Chunxuanmao Longgang District Nursing Home in Shenzhen has attracted industry attention for its outstanding performance in intelligent transformation. This nursing home uses millimeter wave radar, intelligent bed belts and other equipment to monitor the elderly's turning, leaving the bed, falling and other states without feeling anything while fully protecting their privacy. Once an abnormality occurs, it quickly pushes warning information; Using AI systems to sort out the full cycle health data of the elderly and predict the risk of chronic diseases in advance; Based on the HarmonyOS system, the operational data of the entire hospital, including human resource allocation, energy consumption, elderly dynamics, and service ledger, are summarized. After AI intelligent analysis, personnel scheduling, energy consumption control, material scheduling, and environmental operation and maintenance are optimized, ultimately achieving refined and scientific operational decision-making for elderly care institutions.

In fact, in recent years, the intelligent transformation of elderly care institutions has become an industry trend. AI devices, elderly care robots, IoT and other intelligent hardware, as well as supporting digital management systems, are gradually becoming standard configurations for elderly care institutions, widely used in various scenarios such as daily safety monitoring, dynamic health management, intelligent life services, and digital operation of institutions.

In addition, since the beginning of this year, several elderly care service companies have launched IPOs on the Hong Kong stock market, planning to invest some of their fundraising in the construction of digital and intelligent platforms.

In February of this year, Jinxin Kangyang, a leading enterprise in the domestic elderly care service industry, submitted an application for listing to the Hong Kong Stock Exchange. According to its public prospectus, the company is currently promoting the implementation of an AI driven supply chain management platform. This platform not only enables intelligent demand forecasting, dynamic inventory allocation, optimization of service network layout, and early warning of supplier risks, but also covers the automated procurement process of daily maintenance, repair, and operation. The company plans to use a portion of the funds raised from this IPO to upgrade existing information systems and digital platforms, build an intelligent operation system, support business management and innovation through automated data processing, and identify security and medical risks for elderly customers.

In late May, medical and elderly care service provider Puxiang Health also submitted a prospectus to the Hong Kong Stock Exchange, which showed that the company plans to use some of the funds raised to build a digital platform system driven by AI and algorithms, optimize precise health management models, and improve overall operational efficiency and decision-making level. It is reported that the platform integrates multidimensional data such as medication records, physical examination indicators, and medical frequency, builds a chronic disease risk prediction algorithm model, and constructs a full cycle closed-loop health management system covering disease prevention, early screening, diagnosis and treatment intervention, rehabilitation adjustment, and medical referral guidance. At the same time, the company also plans to build a unified data center to support the refined operation and control of institutions.

Empowering the operation of elderly care institutions with AI not only reduces labor operating costs, streamlines redundant work, and improves overall management efficiency, but also proactively prevents security risks, reduces service disputes and complaints, and provides more targeted personalized emotional companionship for the elderly.

In recent years, Huzhou City in Zhejiang Province has developed a "one bed, one code" AI+intelligent care supervision model for elderly care, which has become a model for solving the regulatory problems of elderly care institutions and promoting the high-quality development of inclusive elderly care.

Based on AI analysis of bed utilization rate, nursing staff workload and other data, Huzhou City has built an efficient digital intelligence system that can predict occupancy demand, optimize personnel scheduling, assist managers in making scientific decisions, and reduce costs and increase efficiency. Taking the Tongle Maintenance Hospital in Wuxing District as an example, the hospital uses IoT devices for real-time monitoring instead of traditional manual patrols, saving management costs of about 100000 yuan per year; At the same time, the entire process of nursing services can be traced, further standardizing the internal management of the institution.

Chunxuanmao has been deeply involved in the elderly care industry for more than ten years. Previously, its Chunxuanmao (Beijing Beiyuan) senior apartment faced management pain points: nursing staff spent nearly 30% of their time manually recording various paper ledgers, and labor costs remained high for a long time. After the introduction of the smart elderly care system, caregivers can quickly complete the electronic input of all service information through their portable mobile terminals, increasing work efficiency by 40% and reducing overall labor costs by 15%.

Nowadays, intelligent elderly care robots are gradually entering various elderly care institutions and playing an increasingly important role in operational services. Yu Lan, Assistant General Manager of Senlikang Technology (Beijing) Co., Ltd., introduced that the "Xiaoli" elderly care robot produced by the company can deeply integrate into the daily operation scenarios of elderly care institutions. It can not only provide basic services such as welcome reception and route guidance, assist social workers in carrying out various elderly cultural and entertainment activities, but also support backend appointment scheduling. Staff can set time slots in advance, assign robots to actively find elderly people, chat with them to relieve boredom, and send holiday greetings.

It is reported that the "Xiaoli" elderly care robot integrates functions such as health monitoring, traditional Chinese medicine identification, video doctor, and medical assistance, supports voice interaction, and helps the elderly manage their daily health. It can not only actively greet the elderly and engage in natural and smooth daily conversations, but also accurately understand their various life needs, bringing them a warm companionship experience. In addition, it also integrates a massive amount of high-quality film and television resources, and is equipped with practical functions such as remote monitoring, emergency calling, and life assistance, achieving a balance between entertainment and security.

When the robot detects an elderly person falling, if the elderly person fails to respond to the inquiry of 'whether they need help' within 10 seconds, the robot will automatically dial the preset emergency call number to issue an alarm, which greatly improves the emergency response and disposal efficiency of nursing homes, "said Yu Lan.

Various intelligent devices are accelerating their entry into elderly care institutions, achieving quality and efficiency improvement in daily care, safety inspections, health management, and other aspects, becoming an important lever for promoting the transformation and upgrading of smart elderly care. However, some industry insiders believe that whether intelligent elderly care products can truly achieve deep implementation in elderly care institutions depends on the product's level of aging adaptation.

In Yu Lan's view, intelligent elderly care robots are products that respond to the needs of the times and have been transformed from concepts into products, entering the stage of real-world applications. In this process, the development of AI technology, supply chain maturity, scene adaptability, and aging experience have become the key to product implementation. She stated that the "Xiaoli" elderly care robot relies on its self built aging friendly corpus, vertical domain large model, intelligent agent, as well as core technologies such as health monitoring and fall detection, and continues to iterate around the real needs and usage scenarios of the elderly. While providing assistance to improve the quality of home care life for the elderly population, it also reduces the service pressure on elderly care institutions.

At present, the overall smart elderly care industry is still in its infancy, and many problems urgently need to be optimized and improved. The core crux lies in the insufficient matching between supply and demand. "Li Zheming said that on the user side, many nursing staff have resistance to smart products and have not mastered standardized operation and usage methods; On the supply side, many companies have idealized R&D designs and lack in-depth research on the real operational scenarios of nursing homes. Although their products appear to be technologically advanced, they cannot solve the actual pain points of nursing homes. Some smart devices also have problems such as frequent warning and false alarms, and frequent disposal only increases workload. There is still significant room for improvement in product adaptation and landing.