Cerner Real World Data is a de-identified data set that enables researchers to leverage longitudinal patient records from contributing facilities across the nation. In this discussion, we will dive into an example of how the Life Sciences team utilized RWD, a database of near 100 M patients, to create two analytics ready databases of about 1.5 M and 700k qualified patients respectively to be delivered to Duke Clinical Research Institute. By implementing the use of HealtheDataLab and Discern Ontologies, the team was able to clearly identify patients and fields of interest to be delivered for the study. From coding to extraction and utilization of Discern Ontologies, we will go through the process of building a flattened data set to cohort specifications identified by user needs.

Cerner DataCon