Research on Hierarchical Data Fusion of Intelligent Medical Monitoring

• Main Authors: Wanmin Lian, Tingting Xue, Yanyong Lu, Miye Wang, Wu Deng
• Format: Article
• Language: English
• Published: IEEE 2020-01-01
• Series: IEEE Access
• Subjects: Hierarchical data; IOT; medical resources; multi-level data fusion; information technology
• Online Access: https://ieeexplore.ieee.org/document/8930547/

The IOT-based intelligent telemedicine system is an important direction for future development. It combines information space and physical space to inform and network people's living environment. The distribution of medical resources in China is extremely uneven. There are many excellent medical resources in big cities. The resources of small and medium-sized cities are very few, which leads to patients going to large city hospitals for medical treatment, resulting in hospital overcrowding. Intelligent telemedicine system sinks excellent medical resources. Patients can also enjoy the excellent medical resources of the big city hospitals in the local area. Therefore, the use of advanced networks and science and technology, the integration of information technology and medical technology, the establishment of intelligent telemedicine system, will certainly optimize the hospital business process. This paper proposes research on multi-level data fusion under intelligent medical monitoring, which will improve its resource utilization and work efficiency, and promote hospital hierarchical data construction. Innovative use of Internet of Things technology promotes academic exchanges among hospitals, which improves doctors' technical skills, and hospital medical standards. The development of the Internet of Things is significant to the development of China's medical industry. It is hoped that this article can help the development of telemedicine in China.