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. Building a forward looking analytics framework to tackle these new data challenges requires both extensible and flexible tools, and creative thinking.
This talk with cover some of the real world data projects we have worked on: social media analysis and digital opinion leader identification, identifying macro and micro healthcare market trends in the US, detecting patterns in clinical trial protocol deviations, gleaning clinical insights based on discussions between US based medical liaisons and health care providers, and patient and caregiver ethnographic data to discern patterns in patient sentiment, compliance, routines, behaviors, and overall treatment satisfaction and outcomes. The discussion will focus on our approach to each of these projects, the outcome and impact.