Method for detecting adverse drug reaction signal

Abstract

The invention discloses a method for detecting adverse drug reaction signal, and belongs to the technical field of computer software and medical informatization. According to the drug adverse reaction signal detection method, data related to adverse drug reactions in a national health information platform is obtained, the data is cleaned and normalized and then integrated into a clinical case data warehouse again, and adverse reaction risk signals are detected according to a preset mining algorithm and a signal detection model. The method for detecting the adverse drug reaction signals can timely, comprehensively and accurately monitor the safety of medical instruments on the market, processes the detected signals in time, reduces the risk of adverse drug reactions of patients, and has good popularization and application values.

Description

technical field [0001] The invention relates to the technical fields of computer software and medical informationization, and specifically provides a method for detecting adverse drug reaction signals. Background technique [0002] With the continuous development of the medical level and the continuous improvement of the public's demand for health, the issue of patient drug safety has gradually entered the public's field of vision and become one of the hot spots of global concern. Drug device safety monitoring has become an important task of regulatory authorities in various countries. In China, prescription drugs are still the most important means of treatment, in addition to the application of various Chinese patent medicines and herbal medicines, making drug safety issues more complicated and difficult to manage. In 2018, the National Adverse Drug Reaction Monitoring Network received 1.499 million adverse drug reaction / event reports, an increase of 70,000 from 1.429 mill...

AI Technical Summary

Problems solved by technology

However, SRS has several disadvantages that hamper the effectiveness of signal detection

First, underreporting, underreporting, and misreporting of suspected adverse drug reactions are common in clinical practice, which means that the SRS data are not complete

Second, since SRS is a closed system of the Adverse Drug Reaction Monitoring Center and its provincial and municipal subsidiaries, it is difficult to obtain data in a timely and convenient manner

Third, unexpected and specific adverse drug reactions that occur in a small number of people (usually less than one in a thousand), and adverse drug reactions that are associated with the potential increase in the probability of certain diseases. It has the characteristics of weak signal, large noise, strong ambiguity and randomness, and can only be found by using effective means to detect a large amount of data

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