Visual identification screening method for adverse events of drug test

Abstract

The invention discloses a visual identification screening method for adverse events of a drug test. The method comprises the following steps: acquiring baseline period data and test period data of each test object from an EDC database; performing validity verification on the acquired baseline period data and the test period data, and screening out a test object to be identified; performing identification processing on the baseline period data and the test period data of each to-be-identified test object, and outputting visual data convenient to identify; and popping up and displaying the visual data is popped up and displayed, so that visual review and check are facilitated. According to the visual identification screening method, complete and effective test objects of baseline period dataand test period data can be screened out, so that manual integrity and effectiveness check is avoided, and the screening efficiency and accuracy of adverse events can be effectively improved; and meanwhile, the test object data after validity verification can be identified and sorted, so that the visual examination of personnel is facilitated, and the discrimination efficiency is further improved.

Description

technical field [0001] The invention relates to a method for visual identification and screening of adverse events, in particular to a method for visual identification and screening of adverse events in drug trials. Background technique [0002] Data management and statistical analysis in clinical drug trials is one of the important links to ensure the scientificity and reliability of research results. The main purpose of data management is to quickly, completely and accurately incorporate drug trial data into reports, and all corresponding steps regarding data management must be documented in order to check data quality and trial implementation. The main purpose of the statistical analysis is to evaluate the effectiveness and safety of the drug treatment. Adverse events are important information for patient safety concerns and trial drug safety assessments, and the integrity of their entry in the database has become a concern for data management in the industry. In the pa...

AI Technical Summary

Problems solved by technology

This process is time-consuming and labor-intensive, and it is very prone to omissions, wrong fillings, and incorrect fillings. In severe cases, it may even affect the conclusion of the entire clinical trial.

This simple manual data verification method can no longer meet the needs of data management

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