
This course contains the use of artificial intelligence.
Welcome to SafeMeds Academy.
This course is a practical, career-focused training program on pharmacovigilance aggregate reporting, covering PBRER, DSUR, PADER, PSUR, signal detection, benefit-risk evaluation, safety summaries, quality control, inspection readiness, and responsible AI-supported pharmacovigilance workflows.
The course is designed to help learners understand how aggregate safety reports are used in real pharmacovigilance and regulatory environments. You will learn how periodic reports connect cumulative safety data, medical interpretation, regulatory expectations, and defensible benefit-risk conclusions.
Throughout the course, you will explore key data sources used in aggregate reporting, including ICSRs, line listings, summary tabulations, literature, clinical trial data, post-marketing data, exposure data, regulatory actions, label changes, and safety commitments.
You will also learn how to review safety information for signals, emerging safety issues, important risks, and practical follow-up actions. The course includes workflows for preparing and reviewing aggregate reports, including PBRER structure, DSUR and PADER workflows, safety evaluation sections, QC checks, common reporting errors, inspection readiness, and finalization.
Because pharmacovigilance is evolving, the course also introduces the responsible use of AI in aggregate reporting. This includes AI-supported summaries, literature review, trend detection, prompting, traceability, hallucination risk, and human oversight.
By the end of the course, you will have a stronger practical understanding of aggregate reporting and how to approach PBRER, DSUR, PADER, PSUR, signals, benefit-risk evaluation, and safety documentation with more confidence.