Capturing new Adverse Events is straightforward if they’re coming from structured sources, like standardized forms or external databases.  Simple processes can be designed to look at this structured data and capture the AEs, even providing an initial risk determination.

But what if your AEs are from unstructured sources, like letters, email, social media posts, and more?

We will be discussing the state of the research for automatically tagging, categorizing, and determining an initial risk score for Adverse Events. We will also show you some new tools we are developing to do exactly that.

Please join us for this short and engaging look into Natural Language Processing for AEs. Hope to see you there.