In recent years, with the booming development of smart sensors, Internet of Things (IoT), big data, 5G networks, and artificial intelligence (AI), smart healthcare-related technologies have been emerging. By using a microservices architecture to build modern medical systems and integrating emerging technologies, smart sensor devices and medical instruments can be used to monitor physiological data. Additionally, medical field monitoring can be developed to integrate clinical medical big data and be combined with a medical situation center to present a visualized dashboard, providing patient-centered medical services. In terms of AI, an AI platform can be provided to develop applications such as medical image recognition and medical record structuring, reducing the workload of doctors and improving the efficiency of medical services. Moreover, a solution for conducting video consultations through a web browser can be offered to reduce patients' transportation and time costs, as well as the risk of person-to-person contact infections. The integration of smart applications in the medical field is imperative, providing better quality medical services by placing patients at the center and leveraging information technology to effectively improve the quality of medical services.