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