Abstract

Jeel Mevada*, Kashish Patel, Mr. Amar Raval

ABSTRACT

In order to guarantee patient safety and medication efficacy, pharmacovigilance—which is the science and collection of practices pertaining to the identification, evaluation, comprehension, and prevention of adverse drug reactions (ADRs) and other drug-related issues—is essential. Even though ADRs are the foundation of post-marketing safety surveillance, underreporting of these events continues to be a major national and international problem, resulting in substantial ethical, financial, and health costs, Pharmacovigilance, the science of monitoring, detecting, assessing, and preventing adverse effects and other drug-related problems, is fundamental to ensuring medication safety throughout their lifecycle. This review explores the essential role of robust data collection systems, including integration of electronic health records, wearable devices, and real-world evidence, to enhance analysis and signal detection. Emerging technologies such as artificial intelligence and machine learning are transforming pharmacovigilance by automating the identification of safety concerns and supporting regulatory decision-making. The article further examines the importance of coordinated information sharing among regulatory agencies, pharmaceutical companies, and healthcare providers to enable timely, proactive risk management. Ultimately, effective pharmacovigilance safeguards public health by promoting rational drug use and continued evaluation of data management strategies in the evolving landscape of modern healthcare and pharmaceutical innovation.