Abstract
Adverse event (AE) reporting is at the heart of patient safety. Yet, the current pharmacovigilance (PV) case intake process is slow, costly, and prone to error.
We have developed an AI-powered Case Intake solution that uses a multi-agent architecture to automate intake, triage, translation, and reporting. This system has been able to reduce costs by 30–50% while improving speed, accuracy, and compliance.
Key Features
Collaborative AI Speeds Up PV Case Intake
Specialized agents work together to extract details, triage cases, translate instantly, and validate compliance fields—streamlining workflows and reducing manual effort.
Omnichannel Intake with Built-in Compliance
Capture reports from email, forms, voice, and digital channels. Embedded deadline tracking ensures global regulatory timelines are met.
Instant Translation and Duplicate Checks
Language barriers disappear with real-time translation, while smart matching flags duplicates early to maintain clean, audit-ready data.
Proven ROI: Faster Cycles, Better Quality
Turnaround drops from hours to minutes, valid case rates exceed 95%, compliance timeliness hits 98%, and capacity scales to 150–200 cases daily.