Richard Oliver
Data Analyst, Life Sciences Strategy - Data as a Service
Kansas City, Missouri, United States
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Richard is a US Army veteran and graduated from Arkansas Tech University in December 2019 with a Bachelor of Science in Information Systems. He began working for Cerner as an Academy Business Analyst in January 2020. After completing the Analytics Academy, he moved into the Analytics Learning Lab to continue learning about data analytics. In June 2020, he landed on the Life Sciences Strategy team as a Data Analyst where he has focused on building analytical data sets for external clients. Beginning August, 2021, Richard will be working towards a Master's of Information Systems from the University of Arkansas
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Leveraging Cerner Real World Data to Build Analytical Data Sets
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
Richard Oliver
Data Analyst, Life Sciences Strategy - Data as a Service
Kansas City, Missouri, United States
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