Information management system for supporting clinical scientific research by using medical big data

Abstract

The invention discloses an information management system for supporting clinical scientific research by using medical big data. The information management system comprises a medical big data platform,a clinical data center, a scientific research data center and a data operation service center. According to the invention, corresponding distributed classification can be carried out on the medical big data; subsequent quick finding of target file data according to requirements is facilitated; according to the method, a large amount of arrangement time and searching time can be saved, the distributed file data is uniformly scheduled according to clinical scientific research requirements, the disorder condition of multi-party scheduling can be avoided, the whole medical big data is orderly byadopting a uniform scheduling mode, and the error utilization rate of the file data is greatly reduced.

Description

technical field [0001] The invention relates to the field of medical technology, in particular to an information management system that uses medical big data to support clinical scientific research. Background technique [0002] With the application of information technologies such as cloud computing, big data, Internet of Things, mobile Internet and artificial intelligence in the field of health and medical care, especially the strong promotion of the national "Internet +" and big data strategies, big data in health and medical care has surged exponentially . The national and local governments are paying more and more attention to the promotion of national health informatization and the application and development of health and medical big data, and have issued a number of important documents related to medical and health, aiming at the construction of a healthy China and "Internet + medical health" and health care A series of deployments have been made in the development ...

AI Technical Summary

Problems solved by technology

Therefore, providing an information management system that uses medical big data to support clinical scientific research can overcome the problems in the prior art that the medical data of each hospital is scattered and independent, and it is difficult to integrate and process, thereby reducing the difficulty of collecting medical data; and through the medical big data. Corresponding distributed classification, so as to obtain different types of distributed file data, which is convenient for the follow-up to quickly find the target file data according to the demand, which can save a lot of time for sorting and searching. , so this part is very important; and the unified scheduling of distributed file data according to the needs of clinical scientific research can avoid the confusion of multi-party scheduling, and the use of unified scheduling makes the whole medical big data in an orderly manner, reducing a lot Error usage rate of file data; offline calculation and processing of distributed file data, so as to obtain the first calculation data that cannot be directly obtained from distributed file data, because distributed file data in medical big data is not comprehensive, and it is The required data is not within the scope of the existing distributed file data, and it is necessary to carry out relevant logical calculations on the distributed file data, so offline computing and processing of the distributed file data can increase the comprehensiveness of medical big data

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