• Prathamesh.T.Patil
• Sandesh.U.Sutar
• Gururaj.D,Patil
• Shubham.S.More
• Tejashree.S.Khamkar

Unintentional and dangerous reactions to drugs, known as adverse drug reactions (ADRs), present serious risks to patient safety and raise morbidity, mortality, and healthcare expenses globally. Pharmacovigilance is crucial for directing therapeutic choice and regulatory oversight, and it includes tracking adverse drug reactions (ADRs) and conducting systematic risk-benefit analyses. Inadvertent or slow signal detection, and inadequate coverage of everyday populations are the drawbacks of traditional ADR detection techniques, such as clinical trials and spontaneous reporting systems. Combining data exploration, machine learning, and computational intelligence techniques with different sources of data from medical professionals, patient-generated results, electronic medical files, and social media is becoming a potent strategy to improve ADR detection, anticipate risks, and maximize patient safety.. Proactive safety inspection and pharmacovigilance are further made possible by patient-centered approaches and continual tracking via wearable technology and mobile health (mHealth). This review emphasizes the significance of risk-benefit analysis, the current approaches and difficulties in ADR monitoring, and the revolutionary potential of statistical pharmacovigilance. Advanced analytics-backed integration of professional and individual patient data holds promise for enhancing signal detection, assisting clinical decision-making, and fortifying regulatory procedures globally

Introduction,Adr Data Source,Risk–Benefit Assessment,Data Mining In Pharmacovigilance,.Challenges,.Future Perspectives, References.

"MONITORING ADVERSE DRUG REACTIONS (ADRS) AND RISK-BENEFIT ASSESSMENT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 10, page no.c205-c211, October-2025, Available :http://www.jetir.org/papers/JETIR2510227.pdf

"MONITORING ADVERSE DRUG REACTIONS (ADRS) AND RISK-BENEFIT ASSESSMENT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 10, page no. ppc205-c211, October-2025, Available at : http://www.jetir.org/papers/JETIR2510227.pdf