Advancements in Pharmacovigilance: A Comprehensive Research of Emerging Trends and Technologies

Abstract

The field of pharmacovigilance, dedicated to the detection, assessment, understanding, and prevention of adverse effects and other drug-related issues, has experienced profound evolution over the years. This comprehensive research endeavor delves deep into the emerging trends and technologies that are currently reshaping the landscape of pharmacovigilance. This study provides an extensive exploration of the latest advancements in pharmacovigilance methodologies, which include leveraging cutting-edge technologies such as big data analytics, artificial intelligence (AI), machine learning (ML), and natural language processing (NLP) techniques. These transformative tools have revolutionized the process of detecting and assessing adverse drug reactions, enabling rapid and accurate identification of potential risks associated with pharmaceutical products. Furthermore, this research meticulously examines the roles played by regulatory agencies and industry stakeholders in advocating and implementing pharmacovigilance best practices to ensure drug safety. Through in-depth analysis, it sheds light on the deployment of regulatory frameworks such as the Pharmacovigilance Risk Assessment Committee (PRAC) in Europe and the Food and Drug Administration (FDA) in the United States, highlighting their significant impact on drug safety surveillance and the formulation of effective risk management strategies.