Using Real World Evidence to Build Dynamic Cohorts in Real-Time

After the US Food and Drug Administration (FDA)’s stated that “the clinical trial system is broken,” regulatory agencies began working to formally figure out how real world evidence will be used in new drug submissions and for new uses of existing drugs. The business potential is huge: organizations can reduce the time and cost of bringing new drugs to market by relying on existing real world data and new sources of unstructured data, e.g., EHRs and social media. Most importantly, this real world data can get patient-saving drugs to market more quickly with fewer post-release adverse events.

The challenges in using new real world data—and turning it into valuable real world evidence—lies in its diversity of format and structure, its lower signal-to-noise ratio compared to clinical study data, and the constant emergence of ever new sources. To extract greater value from this variable data, pharmaceutical companies will be forced to innovate, and a big part of this transformation will be driven by moving from antiquated and siloed IT infrastructures to the modern data management platform. 

The featured speakers in this webinar will discuss how a next-generation semantic operational data hub can be used to build dynamic cohorts in real-time using all forms of real world data—significantly shortening the time traditionally wasted on data wrangling and ETL—to achieve faster results at a lower cost.