Recently, the final of the 5th "Bloom Cup" 5G Application Competition MEC Edge Computing Special Competition, hosted by the Ministry of Industry and Information Technology, jointly hosted by the China Academy of Information and Communications, jointly hosted by the 5G Application

Recently, the final of the 5th "Bloom Cup" 5G Application Competition MEC Edge Computing special competition hosted by the Ministry of Industry and Information Technology, jointly hosted by China Information and Communications Research Institute , jointly hosted by China Information and Communications Research Institute , jointly hosted by China Communications Standardization Association , and China Branch of the BRICS Future Network Research Institute, came to an end after two days of fierce competition.

Jiangsu Future Network Group, jointly created by Yunnan Unicom and Yunnan Cancer Hospital, "Remote intensive care platform based on 5G and AI technologies" pilot application plan stands out in this competition with its mature technical architecture and the application highlights of AI innovative technology, and won the third prize in the MEC Edge Computing Special Competition. The

special competition is themed "Cloud borderless· Sunac Future". It aims to explore the integration and innovative applications of the 5G industry, empower the digital economy , and strengthen the docking of industry finance, so as to promote cooperation in the integration and innovation of 5G and industry, the development of industry digital transformation , and promote the large-scale application of 5G. The pilot application solution of the "Remote intensive care platform based on 5G and AI technology" jointly created by

uses future cutting-edge technologies such as network, 5G, Internet of Things, big data, AI, edge computing, etc. to provide a complete solution from data platform construction to clinical intelligent assisted decision-making support services. Covering the personal privacy of critical clinical departments, doctors, medical staff and patients in the hospital, as well as scientific research data support such as clinical data storage, sharing, traceability, and analysis while ensuring data security, and providing a data foundation for realizing application construction platforms for big data analysis and mining in the clinical field. Relying on this application, the integrated application and management of in-hospital and inter-hospital intensive care data is achieved, ensuring the sharing and interconnection of in-hospital medical data, ensuring the closed-loop process of critical care diagnosis and treatment, maximizing the survival and quality of life of patients, improving the medical experience and satisfaction of patients, and truly achieving the goal of benefiting the people.