Analysis of the hotspots and advantages of adverse drug reaction automatic monitoring system based on CiteSpace and systematic review
10.12206/j.issn.2097-2024.202501034
- VernacularTitle:基于CiteSpace结合系统评价方法分析药品不良反应自动监测系统的热点及优势
- Author:
Yan WANG
1
;
Le KANG
1
;
Wen CHEN
1
;
Qi FANG
1
;
Zhongwang YU
2
;
Li CAO
2
Author Information
1. Department of Pharmacy, Wusong Center Hospital of Baoshan District, Shanghai 201900, China.
2. College of Basic Medicine, Naval Medical University, Shanghai 200433, China.
- Publication Type:Researchreports
- Keywords:
adverse drug reaction;
automatic monitoring system;
systematic review;
medication risk evaluation;
smart pharmacy
- From:
Journal of Pharmaceutical Practice and Service
2026;44(7):362-369
- CountryChina
- Language:Chinese
-
Abstract:
Objective To provide a reference for the establishment, development and application of the adverse drug reaction （ADR） automated monitoring system, through verifying and quantifying the research hotspots and advantages of the system by CiteSpace software and systematic review. Methods Literature on ADR automated monitoring up to December 2023 were retrieved and screened from CNKI and web of science databases. CiteSpace 6.4.R1 software was used to conduct co-occurrence, clustering and emergence analysis, and to visualize and comparatively analyze the research hotspots, rules and distribution in the field of automated monitoring of ADR at home and abroad. In compliance with the preferred reporting items for systematic reviews and Meta-analyses （PRISMA）, literature covering publications in English and Chinese including detection rates of ADR collected using Incident Reporting Systems （IRSs） and/or automated monitoring systems were retrieved and screened. The advantages and disadvantages of automated monitoring systems were analyzed by comparing the differences between these two systems in terms of the number of ADR reports and the types of positive signals. Results A total of 56 articles in English and 80 articles in Chinese were indexed by CiteSpace. The research hotspots in recent years included data mining, deep learning, text classification techniques, machine learning and so on. A total of seven studies compiled with the inclusion criteria for the systematic evaluation, all of which were completed between 1991 and 2021 in hospitals in four countries. 150 526 medical records were reviewed from 15 institutions. A total of 194 ADR reports were collected by IRSs. A total of 2 090 ADR reports were collected by the automated monitoring system over the same period, indicating a 977% increase in the number of ADR reports （P=0.0156） compared with the IRSs. Conclusion The ADR automatic monitoring system had significantly improved the level of drug risk identification and reduced costs, but it was necessary to optimize the algorithm, expand the data source and carry out standardization construction to overcome the current limitations.
