When: Wednesday, November 7, 2018
Time: 8:00 - 9:00am (PST) | 11:00am - 12noon (EDT) | 4:00 - 5:00pm (BST) | 5:00 - 6:00pm (CEST)
Length: 1 hour
The density and variability of the information landscape is making it increasingly difficult to identify meaningful trends in data. Traditional data sources such as clinical trial data and publication data are one piece of an increasingly complex information puzzle. As data capture and publishing platforms explode, newer and highly varied data sources are available for analysis, including internally generated data, social data, patient data, clinician data, market data, hospital data, etc. Much of these data are in unstructured, textual format, making it difficult to extract and analyse using traditional search methods. Building a forward-looking analytics framework to tackle these new data challenges requires both extensible and flexible tools, and creative thinking.
At Novo Nordisk we are using advanced tools and technologies such as natural language processing (NLP) to gain real value from sources including call centre feeds, information from medical liaisons and health care providers. These enable us to identify macro and micro healthcare market trends in the US, detect patterns in clinical trial protocol deviations, and discern patterns in patient sentiment, compliance, routines, behaviors, and overall treatment satisfaction and outcomes. The webinar will focus on our approach to these projects, the outcome and impact.
Thierry Breyette, Associate Director, Novo Nordisk
Thierry Breyette is Associate Director of Information Analytics at Novo Nordisk Inc., located in Princeton, NJ. Currently Thierry’s primary data focuses are real world, market, and clinical trial data. Thierry is influenced by design thinking principles and enjoys exploring novel solutions to information problems. In his work, Thierry utilizes a combination of tools and techniques, including natural language processing, information visualization for discovery and presentation, and conducting descriptive and predictive analyses.
Tom Horan, Senior Analytics Specialist, Novo Nordisk
Tom Horan is a Senior Analytics Specialist at Novo Nordisk. He joined the company in 2012 as a medical librarian in Global Information & Analysis prior to taking his current role with the Information Analytics team in 2015. Tom has led and been involved in a variety of data analysis and visualization projects, supporting stakeholders across medical and commercial sides of the organization.
Lauren D'Amato, Systems Analyst III, Novo Nordisk
Lauren is a systems analyst and data engineer in the Information Technology department at Novo Nordisk. In her current role, Lauren supports business users with their data related activities on Novo Nordisk’s big data platform which is comprised of a data lake and the tools to query, transform, analyze and visualize data.
Jane Z. Reed, Head of Life Science, Linguamatics
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.