Webinar: Evaluation of NLP to support Medical Coding in Adverse Event Report Processing at CSL Behring
When: Thursday 23rd April 2020
Time: 4:00pm BST; 5:00pm CEST; 11:00am EDT; 8:00am PDT.
Duration: 40 minutes.
For processing of adverse event reports, the information provided by a reporter in natural language is transferred (coded) into a standardised format to allow database processing. For the adverse event, indication, medical history, etc. the Medical Dictionary for Regulatory Activities – MedDRA must be used. Most of the coding is manually and time consuming. Only when the verbatim exactly matches a MedDRA term coding is automatic (currently about 30%).
Natural language processing (NLP) is programming computers to process and analyse natural language data, to recognise relevant content and act up-on it in a specific way. E.g. recognise a verbatim as an adverse event and assign a respective MedDRA code.
CSL Behring’s Global Clinical Safety & Pharmacovigilance department (GCSP) have set-up a proof of concept project to evaluate the potential of Natural Language Processing to support Medical Coding. Real life data was used to cover for the specific nature of their patients suffering from rare diseases.
In this webinar, we will provide an overview of the project and its results as well as an outlook on the next steps for integrating NLP into medical coding during adverse event processing.
- Martin A.O.H. Menke, Global Medical Coding Lead, CSL Behring, Marburg, Germany
- Ian Lewin, Principal NLP Specialist, Linguamatics
- Jane Z. Reed, Director Life Science, Linguamatics