Representation method of general data model based on multiple data sources

Abstract

The invention relates to a representation method of a general data model based on multiple data sources. The method comprises the following steps of based on configuration of a data source managementmodule, establishing a general data model for different business data models, and normalizing original data in the general data model to generate a business chart; according to the method, problems ofinconvenient butt joint with other medical systems and incompatible data formats are solved, and efficiency and standard of hospital medical system construction are improved. reusability of the chartis improved so that the user can quickly and conveniently meet the service according to own requirements.

Description

technical field [0001] The invention relates to the field of data processing, in particular to a representation method of a general data model based on multiple data sources. Background technique [0002] In the actual working medical environment, each hospital uses a different system, including HIS, RIS, PACS and other systems, and the data model used by each medical system is not uniform, which leads to different hospital systems in the docking hospital There is an incompatibility problem in the statistics system, and the data model can only be connected one-to-one alone, but it still causes problems such as inaccurate data and duplication of work. [0003] The statistical modules of most medical systems lack standardization and scalability, and need to be developed according to limited business models, which cannot be reused and lack scalability; the current solution is to use the data generated by the medical image management system SQL statement query or intermediate t...

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Problems solved by technology

[0002] In the actual working medical environment, each hospital uses a different system, including HIS, RIS, PACS and other systems, and the data model used by each medical system is not uniform, which leads to different hospital systems in the docking hospital There is an incompatibility problem in the statistical system, and the data model can only be connected one-to-one alone, but it will still cause problems such as inaccurate data and duplication of work

[0003] The statistical modules of most medical systems lack standardization and scalability, and need to be developed according to limited business models, which cannot be reused and lack scalability; the current solution is to use the data generated by the medical image management system SQL statement query or intermediate table for data caching to directly generate charts for display; however, this data processing method is still solidified in the medical management system and cannot be reused in medical software, and there is no unified standard for docking with third parties , will cause differences in data results and greatly increase the workload of docking; therefore, it is still impossible to achieve high scalability of data processing

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