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Preparing Clinical Trial Data for Reporting and Analysis

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Learn a better way to prepare clinical trial data for reporting and analysis. -- 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. To view this webinar in its entirety, please visit: http://www.biopharm.com or https://cc.readytalk.com/r/sldl6locwp3e. Twitter: http://www.twitter.com/BioPharmSystems Facebook: http://www.facebook.com/BioPharmSystems LinkedIn: http://www.linkedin.com/companies/biopharm-systems-inc Google+: https://plus.google.com/104105608638786200757
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