Practical Use Cases of Automation in Pharmacovigilance and Regulatory to Achieve End-to-End Productivity

The regulatory and pharmacovigilance landscape is evolving substantially with the changing expectations from regulatory authorities. With the increasing number of drugs in the drug development pipeline and a parallel increase in the number of drugs being approved by major regulatory authorities globally, the costs continue to escalate. The pharma model for how clinical and safety data are acquired and managed throughout the lifecycle of a medicinal product needs to evolve and explore ways to decrease costs, increase efficiency, and achieve end-to-end (E-2-E) productivity.

Drug development and pharmacovigilance have traditionally been predominantly human activities, recruiting large numbers of highly-trained and capable staff. Many hours of qualified staff are taken up performing routine and manual activities. Automation, however, has the potential to transform the current drug development and pharmacovigilance processes. With the incorporation of advanced automated technologies, several manual repetitive tasks can be automated. Therefore, highly-trained staff can focus on higher value work, consequently replacing, in some areas, roles that are entirely transactional.

This webinar:

• Details how organizations can counter the current challenges in regulatory management and pharmacovigilance
• Discusses how businesses can become more sophisticated by adopting state-of-the-art cognitive computing processes into their existing systems
• Addresses how cognitive computing technologies can automate a multitude of tasks in pharmacovigilance and regulatory, including productivity, compliance, and data quality