Home Learning & Education Effective Adverse Event Detection and Coding with Natural Language Processing

Effective Adverse Event Detection and Coding with Natural Language Processing

by WeeklyAINews
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When:

Time: 8:00am PDT, 11:00am EDT, 4:00pm BST, 5:00pm CEST

Length: 60 minutes


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In a really perfect world, opposed occasion experiences would match neatly into MedDRA, the standardized medical terminology for all regulatory submissions, so that they may very well be simply reported and assessed for patterns to tell security selections. Nevertheless, opposed occasions are sometimes reported in pure language, for instance by nurses, physicians and sufferers, every with a singular means of expressing themselves. So as to add to the complexity, these reporters have extra reporting routes accessible than ever earlier than, making a deluge of pure language security occasions that have to be totally captured and understood. 

At the moment’s NLP expertise can successfully “learn” opposed occasion experiences of their pure language, detect the opposed occasion and acceptable context, and code the opposed occasion to MedDRA.  This will scale back the guide effort wanted in security case processing, and enhance coding consistency, whether or not from security verbatims, social media, printed literature, or different unstructured textual content.  

Be a part of our webinar to find out how NLP can be utilized to synthesize data from many sources, present proof for enterprise selections, establish these novel connections that drive higher worth out of your security processing and the way utilizing NLP, CSL Behring doubled the extent of autocoding opposed occasions from 30% to 60%.

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Jane Reed - Director, Life Science
Jane Reed

Director, Life Science

Peng Zhang - Senior Application Scientist
Peng Zhang

Senior Application Scientist

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