Study on the Model of Network Health Monitoring System in Care and Prevention

In this paper, a network health monitoring system based on augmented reality algorithm is designed to provide more efficient health management services for the elderly. Through the integration of interventional nursing and augmented reality technology, the system realizes real-time monitoring, analysis, and dynamic feedback of user health data. Augmented reality algorithms are used to build interactive interfaces that combine virtual and reality to improve user experience and system operability. The algorithm design of health monitoring system focuses on extracting the key features of health data accurately to improve the accuracy of monitoring and early warning. System simulation verifies the effectiveness and stability of the algorithm. Through the processing and analysis of many health data, the simulation results show that the system has strong adaptability and robustness in diverse scenarios. After adopting the system, the response speed of interventional care decision was increased by about 20%, and the accuracy rate of health abnormality detection was increased by 15%. This study provides an innovative technology path for the field of care and prevention, and lays a foundation for the further development of intelligent health monitoring system.