Drug test data control method and system

Abstract

The invention discloses a drug test data control method and system, and the system comprises: a quality control link processing module which is used for inputting control template data based on a quality control point of a drug clinical test; a data verification center module which is used for receiving the control template data of the quality control link processing module and converting non-standard data in the control template data into uniform structural data; a project center module which is used for summarizing clinical test project information and serves as a unified output port of the clinical test project information; a data storage center module which is used for storing effective data in clinical test items; and a system auditing module which is used for performing calculation based on the effective data of the clinical test project to obtain a project quality control content item. According to the scheme, full-process monitoring and processing of the drug test data are achieved, the error rate in the processes of data recording, screening and the like is effectively reduced, the carding and storage efficiency of the data is greatly improved, and the quality and effectiveness of basic data are improved.

Description

technical field [0001] This solution belongs to the field of information technology, and is mainly aimed at the control and processing of massive data in trials, especially for the control and processing of various types of drug trials and clinical effect data. Background technique [0002] Before the drug properties and large-scale clinical use of drugs, a large number of drug trials are generally required to effectively judge and sort out the specific properties and effects of different drugs. Clinical trial data is the basis for evaluating the results of clinical trials of drugs. The correctness, standardization, and effectiveness of data processing are extremely important, and generally require reliable traceability. In the field of pharmacology, drug test data generally have a long acquisition cycle and a huge amount of data, and processing and quality analysis are a huge workload. [0003] In the actual implementation of various hospitals and scientific research insti...

AI Technical Summary

Problems solved by technology

[0003] In the actual implementation of various hospitals and scientific research institutes, drug test data are often processed by manual recording and manual screening, and then simple data recording and storage are performed through a simple data information system for basic data aggregation and processing. , often lead to errors in experimental data due to the uncertain factors brought about by the work

[0004] And during this period, manual screening of existing data and problem monitoring are prone to errors, and it is impossible to effectively monitor the quality of a large amount of conclusive data and process data. False detection, serious consumption of human resources, and low quality control efficiency. Under the premise of high precision and shortened test cycle requirements for drug testing at this stage, it is difficult to ensure the effective conduct of the test and the rigor of the conclusion

Therefore, how to carry out effective quality monitoring, summary, processing and analysis of the entire process of existing drug clinical trial data, and solve the existing low efficiency problem has become an urgent industry pain point to be solved

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