Accelerating and Extending the Benefits of Observational Research into Advanced Outcomes Analytics

While the Observational Medical Outcomes Partnership (OMOP) has been successful at providing common data models and standard algorithms for improving medical product population studies and safety surveillance using existing real-world data, there are ongoing data challenges and unrealized opportunities for extending the benefits of observational research. The sheer size and scope of data and the lack of processing efficiency inmany of today's first-generation IT platforms limit the ability for life sciences companies to unlock the valuefrom their internal and external data.

An integrated analytical environment that combines optimized solutions for analyzing structured and multistructured data extends the benefits of OMOP and Mini-Sentinel so life sciences companies can performnew types of analytics that move beyond population and safety outcomes.By expanding outcomes analytics across the enterprise, benefits are extended to a wider range of users to fully realize the potential of data-driven real world insights throughout the business.