In this webinar, we will present on use of IQVIA NLP to enhance the AEMR data by standardizing the different ways rare diseases are mentioned, covering 60+ rare diseases including ALS, heriditary angioedema, fragile X, familial hypercholesterolemia.
What will you learn?
- Value of IQVIA Ambulatory EMR-US to identify hard-to-find populations with rare diseases.
- How natural language processing (NLP) text mining can extract relevant structured data from unstructured text including provider notes using ontologies, flexible queries, and linguistic processing.
- Real-life success stories from pharmaceutical companies such as Novo Nordisk, Bristol-Myers Squibb, Iowa University, and others who are using NLP to access and gain valuable insights from a variety of data sources including call-center feeds, patient forums, field medical affairs notes, and electronic medical records.
Speakers:
Jane Reed
Director of Life Science Linguamatics, an IQVIA company
Kimberley Jordan
Director, US Real World Data and Technology at IQVIA
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