IQVIA NLP Platform
Insights are trapped in mountains of text. NLP sets them free.
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Impacting People's Lives
Harness the power to transform clinical development
Reimagine clinical development by intelligently connecting data, technology, and analytics to optimize your trials. The result? Faster decision making and reduced risk so you can deliver life-changing therapies faster.
Research & Development Overview
Real World Evidence. Real Confidence. Real Results.
Generate and disseminate evidence that answers crucial clinical, regulatory and commercial questions, enabling you to drive smarter decisions and meet your stakeholder needs with confidence.
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See markets more clearly. Opportunities more often.
Elevate commercial models with precision and speed using AI-driven analytics and technology that illuminate hidden insights in data.
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Service driven. Tech-enabled. Integrated compliance.
Orchestrate your success across the complete compliance lifecycle with best-in-class services and solutions for safety, regulatory, quality and medical information.
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Intelligence that transforms life sciences end-to-end.
When your destination is a healthier world, making intelligent connections between data, technology, and services is your roadmap.
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Natural Language Processing
CASE STUDY
Explore IQVIA by region
As a global community, IQVIA continuously invests and commits to advancing human health.
Americas
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Case Study
How CSL Behring uses Natural Language Processing to Improve MedDRA Coding
Jul 20, 2022
- Library
- How CSL Behring uses Natural Language Processing to Improve MedDRA Coding
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.
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