Medical data management method and system based on big data framework

Abstract

The invention relates to a medical data management method and system based on a big data framework, computer equipment and a storage medium; and the method comprises the steps: building a data lake ofa data middleground, managing all collection data, analyzing process data, an analysis model and analysis result data, and job scheduling and supporting smooth operation of an analysis process of alldata on the whole platform; building a big data acquisition platform; building a big data computing platform; building a big data service platform; and establishing a big data exchange platform and establishing a big data application platform. Unified data integration specifications and standards are established to optimize hospital-wide data quality, and a data decision basis is established to improve hospital competitiveness. The big data computing platform, the service platform and the application platform provide full-process and refined management analysis results of various businesses for managers, and scientific and refined hospital management decisions are promoted.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a medical data management method, system, computer equipment and storage medium based on a big data framework. Background technique [0002] With the development of computer technology, computer technology has been widely used in various fields. Since computer technology can efficiently manage various information, it can effectively provide efficient data management. [0003] However, many medical data centers that exist today, such as CDR, are mostly used for data query in practice, the value of data has not been released, and the stored data is more biased towards clinical data, and less operational data is involved. Therefore, the traditional medical data center does not integrate the data of the whole hospital to improve the accessibility, availability and credibility of hospital data services, and fails to fully release the value of data and the data involves less,...

AI Technical Summary

Problems solved by technology

[0003] However, many existing medical data centers, such as CDR, are actually mostly used for data query, the value of data has not been released, and the stored data is more biased towards clinical data, and less operational data is involved.

Therefore, the traditional medical data center does not integrate the data of the whole hospital to improve the accessibility, availability and credibility of hospital data services, and fails to fully release the value of data and the data involves less, and thus As a result, when a problem occurs, it cannot be quickly traced to the root cause of the problem, and it cannot provide decision support for the hospital in a timely manner.

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