PHARMACOVIGILANCE AND PATIENT SAFETY IN PAKISTAN: EVALUATING AI-DRIVEN ADVERSE DRUG REACTION MONITORINGIN HOSPITAL SETTINGS

Abstract

The rising incidence of adverse drug reactions (ADRs) poses a significant challenge to patient safety in hospital settings, particularly in low- and middle- income countries such as Pakistan. This study evaluated the effectiveness of AI- driven pharmacovigilance systems in monitoring and managing ADRs across selected tertiary care hospitals. Using a mixed-methods approach, quantitative analysis measured ADR detection rates, response times, and severity reduction, while qualitative feedback assessed clinician perceptions and system usability. The findings showed a significant increase in ADR detection efficiency, a reduction in severe and moderate ADRs and positive clinician approval of AI integration. These results emphasize the possible of AI tools to enhance patient safety, rationalize pharmacovigilance work flows, and evidence-based clinical decision-making support. The study offers applied recommendations for, training, institutional adoption and policy development, underlining pathways for comprehensive application in healthcare systems.