Many companies have made great strides in standardizing and conforming subject data collected in clinical trials, in order to have a more efficient and repeatable way of delivering the data to reporting systems for statistical analysis and regulatory submissions.
Typically, preparing data is made up of the following three steps:
1. Specifying the conformed data
2. Programming the conformed specification
3. Validating the written programs work as expected
Please join BioPharm Systems’ Michael Grossman, vice president of clinical data warehousing and analytics, for a complimentary one-hour webinar that will discuss and demonstrate one way to dramatically reduce the effort of specification and validation, as well as remove the programming step in its entirety. The ensuing programs are automatically generated in Oracle Life Sciences Data Hub (LSH) and as standalone SAS. The end result is a significant increase in the productivity of data preparation and conforming for internal use, along with runnable programs that can be sent to regulatory authorities and partners.
Thursday, March 29, 2012 @:
7:00 a.m. Pacific Time
8:00 a.m. Mountain Time
9:00 a.m. Central Time
10:00 a.m. Eastern Time
15:00 UK Time
16:00 Central European Time
For more information about BioPharm Systems, please visit: http://www.biopharm.com
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
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