Real world evidence can inform all phases of drug development, commercialization, and drug use in healthcare settings. Many sources of real world data contain large amounts of unstructured text (e.g. EHRs; patient-reported outcomes such as forums, social media). NLP text mining can extract the key facts, using relevant ontologies and focused queries, transforming real world data into actionable intelligence for decision making.
In this 40-minute webinar, RealHealthData and Linguamatics will discuss the challenges of working with real world data (in this case, medical transcripts), and show the power of I2E to extract relevant data to answer critical questions around treatment outcomes for prostate cancer.
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