Pharmacovigilance: Emerging trends, ongoing challenges, AI and future outlook in pharmacovigilance

Pharmacovigilance, which involves the science and activities surrounding the identification, evaluation, understanding, and prevention of adverse drug reactions or related issues, is fundamentally associated with efficient information management. The crucial role of information within pharmacovigilance includes the gathering, analysis, and distribution of data to ensure maximum patient safety. A strong information system is essential for pharmacovigilance, facilitating the acquisition of reports on adverse events from healthcare providers, patients, and other stakeholders. The development of data sources highlights the importance of integrating electronic health records, wearable technologies, and real-world evidence to enrich the information available for analysis. Cutting edge technologies like artificial intelligence and machine learning are revolutionizing pharmacovigilance by streamlining signal detection and facilitating predictive modeling, allowing for thorough examination of extensive datasets to uncover potential safety issues and support regulatory decision making. Additionally, this abstract explores the critical nature of structured information exchange among regulatory bodies, pharmaceutical firms, and healthcare practitioners. Prompt and transparent dissemination of safety information enables a proactive approach to emerging risks and aids in crafting effective risk management strategies. The ongoing assessment of information management methods is necessary to navigate the complexities of contemporary healthcare and pharmaceutical advancements. In summary, these abstract highlights the interconnectedness of pharmacovigilance and information management, illustrating that the effective use of diverse and high-quality data is essential for enhancing drug safety practices and protecting public health.