Artificial intelligence in pharmacovigilance: a narrative review and practical experience with an expert-defined Bayesian network tool.

Journal: International journal of clinical pharmacy
Published Date: Jul 30, 2025

Abstract

BACKGROUND: Pharmacovigilance is vital for monitoring adverse drug reactions (ADRs) and ensuring drug safety. Traditional methods are slow and inconsistent, but artificial intelligence (AI), through automation and advanced analytics, improves efficiency and accuracy in managing increasing data complexity.

Authors

  • Rogério Caixinha Algarvio
    Faculty of Sciences and Technology, University of Algarve, Faro, Portugal.
  • Jaime Conceição
    Faculty of Sciences and Technology, University of Algarve, Faro, Portugal.
  • Pedro Pereira Rodrigues
    CINTESIS - Centre for Health Technology and Services Research, Portugal.
  • Inês Ribeiro
    RISE-Health, Department of Community Medicine, Information and Health Decision Sciences, Faculty of Medicine of the University of Porto, Porto, Portugal.
  • Renato Ferreira-da-Silva
    Algarve Biomedical Centre Research Institute (ABC-Ri), University of Algarve, Faro, Portugal. renato.ivos@gmail.com.

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