Life Sciences

Transfer Subjects From Site To Site With Siebel CTMS IP2016

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Life Sciences - How Artificial Intelligence Can Enhance the Clinical Data Review and Cleaning Process
How Artificial Intelligence Can Enhance the Clinical Data Review and Cleaning Process

This guide analyzes how artificial intelligence – including machine learning – can be used by pharmaceutical and medical device companies to improve the clinical data review and cleansing process.

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Study managers, rejoice! In Oracle’s innovation pack 2016 (IP2016) for Siebel Clinical, Oracle introduced a new feature that allows subjects who are enrolled at one site to be transferred to another – without losing any history.

Here are some highlights of the subject transfer feature:

  • Ability to transfer subjects from one site to another within the same study
  • Option to retain the subject’s visit data from the source site
  • Option to apply the destination site visit template to the incoming subject
  • Ability to apply the payment exceptions set for the destination site to the incoming subject
  • Complete tracking of subject transfer history at both the site and subject level

For more on IP2016, fill out the contact form below and we’ll get back to you.

About the Author

With over 10 years of experience, Jothi Selvaraj is a solutions architect in Perficient’s life sciences practice. His expertise lies in the implementation and integration of Oracle Siebel Clinical Trial Management System (Siebel CTMS), as well as Perficient’s Siebel CTMS accelerator, ASCEND. Jothi has a bachelor’s degree in computer science from Bharathiyar University in India. Before joining Perficient (via the acquisition of BioPharm Systems), he worked at IBM, and Accenture. Jothi currently resides in Worcester, Massachusetts.

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