Using JReview to Analyze Clinical and Pharmacovigilance Data in Disparate Systems
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Sponsors and CROs naturally rely on various clinical and safety systems from a multitude of software vendors. However, continuously accessing disparate sources for the reporting, analysis, and ...
Sponsors and CROs naturally rely on various clinical and safety systems from a multitude of software vendors. However, continuously accessing disparate sources for the reporting, analysis, and monitoring of data can be a treacherous undertaking, if you don't have a solution that connects to them right out of the box.
That's where JReview comes in. For almost two decades, life sciences companies, research organizations, in addition to the government, have relied on JReview for the comprehensive analysis and monitoring of clinical and pharmacovigilance data.
The analytics solution works with many Oracle Health Sciences applications, including Argus Safety, Oracle AERS, Oracle Clinical (OC), Remote Data Capture (RDC), Thesaurus Management System (TMS), InForm, Life Sciences Data Hub (LSH), and Clinical Development Center (CDC). JReview also works with non-Oracle solutions, such as ARISg, Medidata Rave, and SAS Drug Development.
In this slideshare, you will learn:
The features and benefits of JReview, including the new functionality in v10.0 (e.g., risk-based monitoring analytics reporting on the clinical data itself, etc.)
Benefits of using JReview for:
Reporting and query of your clinical data
Supplying internal and/or external users/sponsors information
Providing a secure way for your internal users and/or sponsor users to access the clinical data
Examples of how customers use JReview with OC/RDC
The implementation process and options
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