Evaluation of Computer-Based Auto-Verification System in Adverse Event Reports of Intrauterine Device
CHEN Ying
ZHANG Min
LIN Jie
ZHOU Jian
XU Ning
XU Hao-qin
Abstract：Objective:To evaluate the effectiveness of the computer-based auto-verification system in the adverse event reports of intrauterine device (IUD), so as to provide suggestion and improve this system. Methods:5% samples from 6520 adverse event reports of intrauterine device collected by SCARS from January to May of 2017 were selected and scored. Results:In this assessment, the reports auto-verificated by computer were 45.83%of the total reports. 339 cases including various types of adverse events were collected and evaluated, with an average score of (97.01±4.20). Most of the reports lost scores in the part of adverse event evaluation. Conclusions:It is necessary to develop a computer-based auto-verification system for the increasing number of intrauterine device adverse event reports. It could be widely applied with improved and perfect function.
Keywords：ContraceptionContraceptive agentsIntrauterine devicesAdverse event reportAutomatic data processing
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 470-473 )