Proactive Health Systems

The concept of proactive health was introduced in China in 2015, but the underlying principles of proactive health have been popular for a long time. Proactive health emphasizes the identification and assessment of an individual’s health status through long-term, continuous health monitoring and tracking. It utilizes various medical approaches to intervene in health behaviors, primarily to improve the individual’s health. With the development of big data and artificial intelligence, the typical applications of proactive health systems have evolved into AI-based health management systems. These systems use health monitoring to gather large amounts of data, employ data-driven health assessment methods such as risk prediction models, and are supported by artificial intelligence to provide health management and intervention services. Current systems, such as family doctor health management systems and intelligent health management systems, all reflect the principles of proactive health.