The increasing prevalence of chronic diseases globally poses major challenges to the health of societies and individuals. Managing chronic diseases requires long-term treatment and monitoring, placing demands on patients' lifestyles. With the aging of the population and changes in lifestyle, chronic disease prevention and control are becoming more and more important. In recent years, as scientific and technological innovation in the field of healthcare develops in depth, and the application of artificial intelligence in healthcare has gradually become one of the important strategic directions of the country, the traditional method of chronic disease management relies too much on the offline communication between the doctor and the patient, which leads to the doctor not being able to maintain long-term and effective communication and follow up with the patient, and the patient may not be able to be detected and monitored by the doctor in a timely manner when his or her condition changes. In addition, the traditional chronic disease management approach is usually a generalized approach that fails to adequately consider the individual differences of each patient. Given the limitations of traditional chronic disease management methods, this study aims to provide more convenient and efficient primary care services using intelligent robots. Through personalized health management plans, assisted medical diagnosis, and timed medication reminders, the intelligent robot is committed to improving patients' quality of life, reducing the pressure on healthcare resources, and promoting the development of intelligent healthcare management globally.