Oracle’s Life Sciences Data Hub (LSH) is a framework that allows sponsors and clinical research organizations to manage clinical trial research data.
One of the most difficult tasks in clinical research is the ability to rapidly bring together and analyze all the relevant data from multiple clinical trials for specific patient subpopulations. This information can be used for many business objectives including monitoring safety risks, planning future trials, and product defense.
Join BioPharm Systems’ Michael Grossman, vice president of clinical data warehousing and analytics, for a free one-hour session on an application within LSH that allows users to dynamically select patient subpopulations and automatically deliver the longitudinal data for those subpopulations for detailed analysis.
You will learn how LSH can:
>Provide dynamic selection of patient subpopulations and automatically generate a longitudinal data mart of the selected subpopulation
>Save and reuse analysis methods and results for future analysis and exploration
Wednesday, June 22, 2011 @
11:00 a.m. Pacific
12:00 p.m. Mountain
1:00 p.m. Central
2:00 p.m. Eastern
7:00 p.m. GMT