Search Articles

View query in Help articles search

Search Results (1 to 10 of 54 Results)

Download search results: CSV END BibTex RIS


Assessment of the Efficiency of a ChatGPT-Based Tool, MyGenAssist, in an Industry Pharmacovigilance Department for Case Documentation: Cross-Over Study

Assessment of the Efficiency of a ChatGPT-Based Tool, MyGenAssist, in an Industry Pharmacovigilance Department for Case Documentation: Cross-Over Study

The report is compiled into a source document, which is then added to an internal pharmacovigilance database by a local pharmacovigilance officer. The source document is analyzed by a case evaluator who is part of the company’s global pharmacovigilance team. Based on the global analysis, the pharmacovigilance officer is in charge of defining the final list of relevant questions to complete the case.

Alexandre Benaïche, Ingrid Billaut-Laden, Herivelo Randriamihaja, Jean-Philippe Bertocchio

J Med Internet Res 2025;27:e65651

Characterizing Public Sentiments and Drug Interactions in the COVID-19 Pandemic Using Social Media: Natural Language Processing and Network Analysis

Characterizing Public Sentiments and Drug Interactions in the COVID-19 Pandemic Using Social Media: Natural Language Processing and Network Analysis

Traditional pharmacovigilance mechanisms, reliant on clinical trials and formal reporting systems like Med Watch and Drug Bank [4-6], offer valuable but lagged information. These traditional approaches are plagued by inefficiencies, reporting biases, and a lack of timeliness, thereby lacking comprehensive coverage of the population’s sentiments and experiences [7-10].

Wanxin Li, Yining Hua, Peilin Zhou, Li Zhou, Xin Xu, Jie Yang

J Med Internet Res 2025;27:e63755

Applying AI to Structured Real-World Data for Pharmacovigilance Purposes: Scoping Review

Applying AI to Structured Real-World Data for Pharmacovigilance Purposes: Scoping Review

Typically, pharmacovigilance professionals analyze data from individual case safety report (ICSR) databases (such as the Food and Drug Administration Adverse Event Reporting System, the database maintained by the US Food and Drug Administration) to identify potential pharmacovigilance signals, namely potential causal relationships between an ADR and a drug.

Stella Dimitsaki, Pantelis Natsiavas, Marie-Christine Jaulent

J Med Internet Res 2024;26:e57824

Application of a Language Model Tool for COVID-19 Vaccine Adverse Event Monitoring Using Web and Social Media Content: Algorithm Development and Validation Study

Application of a Language Model Tool for COVID-19 Vaccine Adverse Event Monitoring Using Web and Social Media Content: Algorithm Development and Validation Study

Organizations (pharmaceutical companies, drug regulators, distributors, wholesalers, and retailers) conduct postmarket pharmacovigilance surveillance both passively and actively, using systems including postauthorization safety studies, as well as voluntary and mandatory surveillance such as the US Centers for Disease Control and Prevention (CDC) or FDA Vaccine Adverse Event Reporting System (VAERS), Med Watch, Eudravigilance, and the WHO’s Vigibase.

Chathuri Daluwatte, Alena Khromava, Yuning Chen, Laurence Serradell, Anne-Laure Chabanon, Anthony Chan-Ou-Teung, Cliona Molony, Juhaeri Juhaeri

JMIR Infodemiology 2024;4:e53424

The Value of Social Media Analysis for Adverse Events Detection and Pharmacovigilance: Scoping Review

The Value of Social Media Analysis for Adverse Events Detection and Pharmacovigilance: Scoping Review

Numerous studies have concluded that social media holds the potential to improve pharmacovigilance, while others, including the well-known WEB-RADR study [23], have argued against it, stating that signal detection in Twitter and Facebook “performs poorly and cannot be recommended at the expense of other pharmacovigilance activities” [24].

Su Golder, Karen O'Connor, Yunwen Wang, Ari Klein, Graciela Gonzalez Hernandez

JMIR Public Health Surveill 2024;10:e59167

Estimating Adverse Events Associated With Herbal Medicines Using Pharmacovigilance Databases: Systematic Review and Meta-Analysis

Estimating Adverse Events Associated With Herbal Medicines Using Pharmacovigilance Databases: Systematic Review and Meta-Analysis

Pharmacovigilance (PV) is the science and activities relating to the detection, assessment, understanding, and prevention of the adverse effects of drugs or any other possible drug-related problems [2]. Essentially, a PV system aims to avert AEs resulting from medication use and implement measures to minimize the consequences of potential adverse effects [2,13].

Chuenjid Kongkaew, Dang Thuc Anh Phan, Prathan Janusorn, Pajaree Mongkhon

JMIR Public Health Surveill 2024;10:e63808

Monitoring Adverse Drug Events in Web Forums: Evaluation of a Pipeline and Use Case Study

Monitoring Adverse Drug Events in Web Forums: Evaluation of a Pipeline and Use Case Study

Med DRA is an international medical hierarchical terminology comprising 5 levels used to code potential ADEs in pharmacovigilance. The highest level is the system organ class, which is further divided into high-level group terms, then into high-level terms, preferred terms (PTs), and finally lowest level terms. Typically, the PT level is used in pharmacovigilance signal detection. The ATC classification system is a drug classification used in France for pharmacovigilance purposes.

Pierre Karapetiantz, Bissan Audeh, Akram Redjdal, Théophile Tiffet, Cédric Bousquet, Marie-Christine Jaulent

J Med Internet Res 2024;26:e46176

Illicit Trade of Prescription Medications Through X (Formerly Twitter) in Japan: Cross-Sectional Study

Illicit Trade of Prescription Medications Through X (Formerly Twitter) in Japan: Cross-Sectional Study

Additional studies are needed to evaluate whether such pharmacovigilance policy changes do, in fact, affect OD rates. Second, regulatory endeavors by agencies may be insufficient to change OD incidence. Such regulatory stances can potentially result in a protracted, contrived pursuit of illicit drug traders. In this study, the second-most prevalent OTC medication mentioned by users self-administering medication was Medicon (Table 3), which has been marketed since 2021.

Hayase Hakariya, Natsuki Yokoyama, Jeonse Lee, Arisa Hakariya, Tatsuki Ikejiri

JMIR Form Res 2024;8:e54023