With the advancement of medical technology, smart healthcare has evolved into an innovative medical service architecture that integrates multiple technologies, with smart health management being a core element, focusing primarily on patient medical records and electronic health records. Currently, there are several limitations in the field of health management, particularly the inability to achieve real-time continuous monitoring of patients' key physiological indicators. To address this, this article has meticulously designed and developed an intelligent medical health management system based on embedded artificial intelligence. The system integrates wearable sensors and uses Mir Technology's flagship platform MYC-CZU3EG as the implementation foundation, employing the GA-BP algorithm to accurately monitor and analyze changes in key physiological indicators such as blood pressure, blood oxygen saturation, heart rate, respiratory rate, and body posture. By integrating an NB-IOT module, the system achieves efficient data transmission to the cloud, supporting remote management operations. Validated through fatigue experiments, the system has proven its practical application value. It is expected to bring innovative strategies and practical methods to the field of health management in homes and communities.