Pharmacovigilance (PV) is the process in drug development that ensures safe, innovative, and high-quality medicinal products get released to the market. The World Health Organization describes how PV achieves this with \u201cthe science and activities relating to the detection, assessment, understanding, and prevention of adverse effects or any other drug-related problem.\u201d<\/p>\n
Automation, fueled by Artificial Intelligence (AI), machine learning, deep learning, and natural language processing, brings substantial benefits. By automating daily activities and repetitive tasks, companies experience time savings and decreasing costs. Up to 30% efficiency gains can be achieved using automation solutions. Other benefits include increased case processing quality and significant error reduction.<\/p>\n
Managing tasks in the drug development process via automation technologies equates to these processes being more efficient, effective, and less time-consuming. Additionally, the cost of case reporting becomes lower while data quality is improved. Significant time savings are also witnessed in pharmacovigilance when utilizing automation. Additionally, PV flourishes when there is an understanding of unstructured data, the capacity to complete follow-up management, and the functionality of a touchless language translation process.<\/p>\n