| dc.description.abstract | The multi-tenant architecture has been widely applied in various smart applications, including smart healthcare, smart cities, intelligent manufacturing and other fields. In these applications, information security management has become a top priority. Measures for data isolation, access control, and privacy protection for different tenants are continuously being improved to ensure data security and compliance in a multi-tenant environment.
This study developed a smart healthcare platform aimed at collecting patients′ physiological characteristics using various virtual reality devices and sensors, providing accurate physiological data to medical professionals to aid in more effective diagnosis and treatment planning. Utilizing internet technology, the platform enables remote diagnosis, remote surgery, and remote monitoring, enhancing the coverage and convenience of medical services. The platform′s electronic prescription system allows healthcare providers to select and combine treatments from multiple options to create personalized treatment plans based on the specific conditions of patients. Each treatment plan is designed with a series of configurable parameters such as language, difficulty, treatment mode, and sensors used, to better meet patients′ needs. These devices and sensors can provide precise physiological data, including important indicators like head movement, eye movement, range of motion, heart rate, and muscle activity.
However, for this system to be implemented in medical institutions, robust data security management must be considered. The multi-tenant architecture plays a crucial role in this platform by achieving data isolation, access control, and privacy protection, ensuring the isolation and security of data for each tenant. This architecture allows for easy scalability to support more tenants, meeting the growing demand. Different tenants can have different configurations and customization features to meet their specific needs, making collaboration between medical institutions easier. | en_US |