When: Thursday 27th June 2019
Time: 3:00pm BST; 4:00pm CEST; 10:00am EDT; 7:00am PDT
Duration: 40 minutes.
In pharma and healthcare, understanding the real world impact of therapies on patients is critical. Real world evidence (RWE) can inform all phases of drug development, commercialization, and drug use in healthcare settings. RWE can shed light on real world clinical effectiveness or safety profiles of products across a broad patient community. RWE can be used to assess patient-reported outcomes, provide input for product reputation management, help with key opinion leader engagement, and more.
However, many real world data (RWD) sources, like electronic health records, patient forums, social media etc., contain unstructured text. Many of our customers are using the power of Linguamatics Natural Language Processing (NLP) platform to transform these unstructured sources of real world data into actionable structured real world evidence that can be rapidly visualized and analyzed. This webinar will present an overview of customer success stories, to show best practise use of our NLP technology for real world understanding.
What will you learn?
- How Natural Language Processing (NLP) text mining can extract relevant structured data from unstructured text using ontologies, flexible queries and linguistic processing
- Real-life success stories from pharmaceutical companies such as Novo Nordisk, AstraZeneca and others who are using NLP to access and gain valuable insights from a variety of data sources including call center feeds, patient blogs and forums, field medical affairs notes, and electronic medical records.
Who should attend?
- Anyone with an interest in getting better value from their real world data streams and integrating diverse data sets to provide knowledge relevant to patient outcomes, product positioning and more.
- Professionals in Medical affairs, Scientific affairs, Real World Strategy and Analytics, Product or brand teams.
About the presenters:
Jane Reed is Head of Life Science at Linguamatics. She is responsible for developing the strategic vision for Linguamatics’ growing product portfolio and business development in the life science domain. Jane has extensive experience in life science informatics. She worked for more than 15 years in vendor companies supplying data products, data integration and analysis, and consultancy to pharma and biotech—with roles at Instem, BioWisdom, Incyte, and Hexagen.
Ryan Hulscher joined Linguamatics as an Application Scientist in 2018. He began using text mining and NLP while doing bioinformatics work during his graduate research. Ryan enjoys applying NLP techniques to diverse data sources to extract valuable insights and help customers solve a wide range of challenges. He holds a PhD in Molecular Biophysics from Johns Hopkins University.