Pharmacovigilance and AI: Enhancing Drug Safety with Automation Leveraging AI

Pharmacovigilance (PV) refers to the ongoing process of tracking, identifying, evaluating, and mitigating adverse reactions or other drug-related issues. It helps ensure that medications continue to be safe, effective, and in line with international regulatory standards. PV is essential for protecting patient health and maintaining compliance with regulatory authorities. Numerous notable cases illustrate its significance in the healthcare ecosystem.

Find out more in our latest Point Of View: Pharmacovigilance and AI Enhancing Drug Safety

Author Details

Sapna Bhardwaj

Sapna is a seasoned life sciences consultant with over nine years of experience in R&D, Project and Quality Management, Data Analysis, and Computer System Validation (CSV). She has successfully led projects in safety and quality, driving continuous process improvements to enhance client performance. Passionate about innovation, she is eager to explore AI technologies and their responsible application in the life sciences industry.

Jayadhar Gundu

Jayadhar Gundu is an AI expert and builder at IC-LS with 9+ years of experience across life sciences and manufacturing. He specializes in delivering AI-driven solutions that transform supply chain and business operations. He has a proven track record in process optimization and end-to-end transformation, driving measurable efficiency gains and performance improvements. Known for bridging strategy and execution, he translates complex challenges into scalable, practical AI solutions. As a responsible AI practitioner, Jayadhar is committed to building ethical, trustworthy AI systems that create lasting value across the life sciences ecosystem.

Leave a Comment

Your email address will not be published. Required fields are marked *