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The C-Level Way To Load Data Into A Clinical Data Warehouse

clinincal-data-warehouse

 

On October 15, 2015, my colleague, Kathryn Hanson, presented a webinar on the topic of clinical data warehousing. She provided a high-level overview of the challenges that life sciences companies face when it comes to technology, in particular with the acquisition and management of data (e.g., patient/subject, trial management, safety) from different systems and third-party service providers. 

With so many external data sources in play, not to mention giant file sizes, getting the data into a data warehouse for analysis can be laborious. To help streamline the required procedures, Kathryn offered a solution that automates the process, substantially reducing the time and personnel it takes to load data into Life Sciences Data Hub (LSH), a clinical data repository from Oracle.

If you are interested in learning more about a flexible solution that helps automate the loading of data into Oracle LSH, I recommend reviewing the webinar recording or flipping through the SlideShare presentation. You are also welcome to send us a note for a more detailed discussion.

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Eugene Sefanov

Director, Industry and Regional Marketing

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