How are AI agents used in clinical trials?

AI agents are used in clinical trials to design protocols using past data, support site selection, generate study documents, and monitor trial data for issues, which helps the team reduce delays, improve coordination, and keep workflows more structured.

How does AI help in pharmacovigilance?

AI helps in pharmacovigilance by automating case intake, triage, medical coding, and narrative generation. It helps to monitor safety signals and makes the process faster and more consistent, making it easier to scale with proper oversight.

How does agentic AI differ from traditional automation in pharmacovigilance?

Traditional automation handles basic tasks like data extraction or coding, but agentic AI helps to manage end-to-end workflows by understanding context, adapting to new data, and making faster decisions.

How do enterprises manage multiple AI agents across clinical and safety workflows?

Enterprises use centralized governance models to control agents' actions and create a network of connected agents that can coordinate tasks, monitor performance, and validate compliance.