Harnessing Social Media for Pharmacovigilance Enhancing Signal Detection through Patient - Generated Data and AI

Vani Pathuri

Abstract: Pharmacovigilance (PV) has evolved with the advent of social media, which offers valuable patient-generated data for signal detection and adverse drug reaction (ADR) monitoring. This paper explores the integration of social media data into traditional PV systems, highlighting its potential in identifying rare or long-term ADRs. We discuss the challenges of causality and severity assessment, regulatory hurdles, and the need for an advanced, data-driven approach. Leveraging AI and machine learning, we propose an automated process for real-time signal detection, improving the efficiency of ADR monitoring. With regulatory frameworks in place, patient-generated data from social media can play a pivotal role in advancing pharmacovigilance, ensuring safer drug use and enhancing public trust in healthcare systems.

Keywords: pharmacovigilance, social media monitoring, patient-generated data, adverse drug reactions, signal detection, AI in pharmacovigilance, real-world evidence