Visual identification screening method for adverse events of drug test

A technology of adverse events and screening methods, applied in electronic clinical trials, visual data mining, office automation, etc., can solve problems such as inability to meet data management requirements, time-consuming and laborious, and affect conclusions, so as to facilitate visual review and improve screening efficiency , Improve screening efficiency and accuracy

Active Publication Date: 2020-07-17
JIANGSU LEEWAY BIOLOGICAL TECH
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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 ma

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Visual identification screening method for adverse events of drug test

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0040] Such as figure 1 As shown, the visual recognition and screening method for drug trial adverse events disclosed by the present invention comprises the following steps:

[0041] Step 1. Obtain the baseline period data and test period data of each test subject from the EDC database;

[0042] Step 2, verify the validity of the obtained baseline data and test data, and select the test subjects with complete and valid baseline data and test data as test subjects to be identified;

[0043] Step 3, identify and process the baseline period data and test period data of each subject to be identified, and output visual data for easy identification;

[0044] In step 4, the visual data is popped up to facilitate visual review and verification.

[0045] By verifying the validity of the obtained baseline data and test data, it is possible to screen out complete and valid test subjects with baseline data and test data, thereby eliminating manual integrity and validity checks and effecti...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06F16/26G06F16/22G06Q10/10G16H10/20G16H70/00
CPCG06F16/26G06F16/2282G06Q10/103G16H10/20G16H70/00Y02A90/10
Inventor 郭文燃高坡王晶杨慧冯皓伟桂尚苑
Owner JIANGSU LEEWAY BIOLOGICAL TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap