A medical and health data management system based on big data

Abstract

The invention relates to a medical and health data management system based on big data, which can provide data analysis, processing, remote diagnosis, evaluation, query and other services; The big data sources and interaction mechanisms used by relevant business applications are used to develop and form big data applications for cardiovascular disease rehabilitation. Form the best application examples in different directions; the system can collect the health status of personnel in real time, store massive medical data in a distributed manner, and analyze and manage data based on big data, so as to quickly obtain universal and accurate The analysis results are used for clinical decision-making, and the dynamic balance scheduling strategy is adopted in the process of data analysis and processing, which can ensure the efficiency of analysis and processing, and reduce power consumption when the load is limited.

Description

[Technical field][0001]The present invention belongs to the field of data management, in particular to a medical health data management system based on large data.【Background technique】[0002]As of 2015, the number of seniors over 60 years old will sur greater than about 220 million. The rapid population will lead to a sharp rise in the number of patients with chronic diseases, which greatly increases medical expenses. If it is not improved, it is expected that the cost growth rate can reach 70% in the next five years. By 2015, China's total health spend is expected to reach 3.3 trillion, accounting for 6.5% GDP. It is necessary to make a good prediction to the population aging and chronic disease, carry out production factors such as funds, institutions, talents, information, and technology. At present, most medical systems at this stage are the basic information and diseases of the hospital's internal recordings. Most of the registration, queuing, outpatient appointment, toll syste...

AI Technical Summary

Problems solved by technology

Because in the hospital, the data collected are basically patients, and the health status of healthy people is not collected, so it cannot be used for analysis, and cannot be used as an analysis sample for disease control and early warning

[0003] At this stage, the medical data analysis system cannot handle massive medical data, and can only analyze a small amount of data, and the results obtained are not universal and accurate

And the analysis speed is slow and error-prone

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