Introduction Medication safety is a cornerstone of quality healthcare, and pharmacovigilance plays a key role in detecting adverse drug reactions and minimizing their risks. With the rapid advancement of artificial intelligence (AI) technologies, the effectiveness of pharmacovigilance systems has been significantly enhanced, improving the speed and accuracy of risk detection. Nurses play a central role in this process, acting as the first line of defense in protecting patient safety. AI-Supported Pharmacovigilance AI-supported pharmacovigilance refers to the use of intelligent systems and advanced algorithms to collect and analyze drug-related data, detect early warning signals of potential adverse effects, and support evidence-based clinical decision-making. The Role of Artificial Intelligence in Pharmacovigilance AI contributes to pharmacovigilance by: • Efficiently analyzing drug reports and electronic health records • Early detection of rare or unexpected adverse drug reactions • Evaluating causal relationships between drugs and adverse events • Supporting regulatory authorities in implementing preventive measures The Nursing Role in AI-Enhanced Pharmacovigilance Nurses are essential to the success of AI-supported pharmacovigilance through: • Continuous monitoring of patient responses during therapy • Early and accurate reporting of adverse drug reactions • Accurate entry of clinical data into electronic systems • Educating patients on the safe use of medications • Collaborating with healthcare and pharmaceutical teams Impact of Integrating AI and Nursing on Patient Safety The integration of AI and nursing enhances: • Reduction of medication errors • Faster response to emerging risks • Improved quality of healthcare delivery • Increased patient safety and confidence Challenges and Ethical Considerations Despite its benefits, AI-supported pharmacovigilance faces several challenges: • Protecting patient privacy and data security • Training nursing staff to effectively use new technologies • Ensuring ethical and safe use of AI in clinical practice Conclusion AI-supported pharmacovigilance represents a transformative advancement in medication safety, strengthening the nursing role in safeguarding patients. With investment in training and technology, healthcare systems can achieve safer, more efficient, and patient-centered care that aligns with the evolving demands of modern medicine. University of Al-Mustaqbal – The First University in Iraq
  الهدف الثالث من اهداف التنمية المستدامة -الصحة الجيدة والرفاه