Data testing method and device

Abstract

The disclosure relates to a data testing method and device. The data testing method includes: automatically extracting the first non-basic data version according to the input target sample number to obtain the current sample to be tested; automatically comparing the current sample to be tested with the corresponding standard sample stored in the database to obtain The difference result between the current sample to be tested and the corresponding standard template; the difference result is automatically evaluated according to the configured index parameters, and the evaluation result of the current sample to be tested is obtained. The disclosure can realize the automatic execution of data testing, improve the efficiency of data quality testing, and can avoid the subjective influence of human errors and omissions on testing results.

Description

technical field [0001] The present disclosure relates to the field of data processing, in particular, to a data testing method and a data testing device. Background technique [0002] With the continuous development of Internet technology, "Internet + medical care" has become a new development direction of the medical industry, which has given birth to the transition from traditional medical care to medical informatization, and also promoted the deepening integration of the health industry and the information technology industry. [0003] After more than ten years of development, medical informatization has made great achievements. At the same time, the medical data accumulated and stored by a large number of medical institutions has far exceeded the scope of current manpower. Especially in recent years, under the impetus of precision medicine, high-quality clinical scientific research based on big data technology has become an inevitable trend. The quality of big data prod...

AI Technical Summary

Problems solved by technology

[0008] First, the checking work mainly depends on manual labor, duplication of labor, low efficiency, and it is difficult to avoid human errors and omissions

[0009] Second, it depends on the preservation and management level of paper files. Once the paper files are lost or damaged without backup, the verification will not be possible.

[0010] Third, the data quality inspection platform is a pipeline operation method. After a new version is loaded, the historical version will no longer be processed. When it is necessary to supplement the data sampling of the historical version, there is nothing that can be done. The fixed process lacks flexibility.

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