Linguamatics hosted our Spring Text Mining Conference in Cambridge last week (#LMSpring16). Attendees from the pharmaceutical industry, biotech, healthcare, personal consumer care, crop science, academia, and partner vendor companies came together for hands-on workshops, round table discussions, and of course, some excellent presentations and talks.
The talks kicked off with a presentation by Thierry Breyette, Novo Nordisk, who described three different projects where text mining provided signficant value from real world data. Thierry took the RAND Corporation definition: "Real-world data (RWD) is an umbrella term for different types of data that are not collected in conventional randomised controlled trials. RWD comes from various sources and includes patient data, data from clinicians, hospital data, data from payers and social data."
At Novo Nordisk they have gained business impact by text mining a variety of souces, including: social media to find digital opinion leaders; conversation transcripts between medical liaisons and healthcare professionals for trends around clinical insights; and mining patient & caregiver ethnographic data to see patterns in patient sentiment and compliance.