Pharmacovigilance is one of the most critical domains in the pharmaceutical industry, focusing on monitoring and preventing adverse drug reactions. With the growing volume of patient data, spontaneous reports, and electronic health records, traditional methods often fall short in detecting safety signals quickly. Artificial Intelligence (AI) and machine learning are now transforming this space by automating case processing, identifying hidden safety trends, and improving the efficiency of signal detection. This not only reduces manual workload but also enhances patient safety outcomes. However, ethical concerns, data privacy, and the need for skilled professionals to interpret AI outputs remain challenges.
Do you think AI will completely replace human roles in pharmacovigilance, or will it act more as a supportive tool for professionals?
MBH/AB