How CSL Behring Uses Natural Language Processing To Improve MedDRA Coding

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


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