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 center 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.
