How CSL Behring Uses Natural Language Processing To Improve MedDRA Coding

CSL Behring's pharmacovigilance department is responsible for capturing and coding Adverse Events (AEs) according to MedDRA, which had required a lot of manual effort.

Discover the results of a recent project in which IQVIA's Natural Language Processing (NLP) technology transformed the departments’ ability to autocode these adverse events.

Discover how CSL Behring can double its autocoding capabilities with NLP
How NLP can autocode AE to MedDRA terminology
How this proof-of-concept proved NLP's ability to save time, cost, and reduce additional QC requirements

Whitepaper

Complete the form below to download the content.

* - marks a required field

Email Address

First Name

Last Name

Address

City

Country

State

Post Code

Phone

Answer the following questions about your organization below:

Company Name

How many people are employed by your organization?

What is your company's revenue?

In which industry do you work?

Job Title

Job Level

By clicking ‘Submit’ you agree to our Terms of Use. We take your privacy seriously. For more information please read our Privacy Policy.