Case Study
How CSL Behring uses Natural Language Processing to Improve MedDRA Coding
Jul 20, 2022

The IQVIA NLP team (Linguamatics) worked with CSL Behring to deploy natural language processing (NLP) to improve their auto-coding capabilities. We collaborated with their medical team to create MedDRA mappings and compare those to manual coding for both the adverse event and the indication. In the end, we were able to double the level of auto-coding, moving from 30 to 60 percent with a very low level of mismatch. As a result, we not only improved the coding consistency, but also reduced risk for case processing in medical evaluation.

Related solutions

Contact Us