Data testing method and device

Abstract

The invention relates to a data testing method and device. The data testing method comprises the following steps of automatically extracting on a first non-basic data version according to an input target sample number to obtain a current to-be-tested sample; automatically comparing the current to-be-detected sample with a corresponding standard sample plate stored in a database to obtain a difference result between the current to-be-detected sample and the corresponding standard sample plate; and automatically evaluating the difference result according to the configured index parameters to obtain an evaluation result of the current to-be-detected sample. According to the method and the device, the automatic execution of data testing can be realized, the data quality detection efficiency isimproved, and the subjective influence on a detection result caused by human errors can be avoided.

Description

technical field The present disclosure relates to the field of data processing, in particular, to a data testing method and a data testing device. Background technique 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. 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 production and processing di...

AI Technical Summary

Problems solved by technology

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

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.

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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