Detecting Pharmacovigilance Signals Combining Electronic Medical Records With Spontaneous Reports: A Case Study of Conventional Disease-Modifying Antirheumatic Drugs for Rheumatoid Arthritis

Detecting Pharmacovigilance Signals Combining Electronic Medical Records With Spontaneous Reports: A Case Study of Conventional Disease-Modifying Antirheumatic Drugs for Rheumatoid Arthritis

Multiple data sources are preferred in adverse drug event (ADEs) surveillance owing to inadequacies of single source. However, analytic methods to monitor potential ADEs after prolonged drug exposure are still lacking. In this study we propose a method aiming to screen potential ADEs by combining FD...

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Bibliographic Details
Main Authors: Liwei Wang, Majid Rastegar-Mojarad, Zhiliang Ji, Sijia Liu, Ke Liu, Sungrim Moon, Feichen Shen, Yanshan Wang, Lixia Yao, John M. Davis III, Hongfang Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-08-01
Series:Frontiers in Pharmacology
Subjects:
adverse drug event
disease-modifying antirheumatic drug (DMARD)
Electronic Medical Records (EMR)
FDA Adverse Event Reporting System (FAERS)
pharmacovigilance
natural language processing
Online Access:https://www.frontiersin.org/article/10.3389/fphar.2018.00875/full

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