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Description

Abstract: Frame Description Language is a user-friendly platform which can retrieve raw data and generate formatted data, reports and dynamic patient registries via concurrent extraction and munging of data from a source. It serves as the unified middle layer between the data source and a diverse group of downstream consumers, in such a way that changes in the source can be accommodated by changes in FDL, keeping consumers unaffected.

Learning Objective 1: To replace the traditional process of Extraction, Transformation and Loading into data marts via dynamic pipelines specified by the FDL.

Learning Objective 2 (Optional): Avoids analytic silos by returning and linking all analytical results and byproducts back to data.

Authors:

Boudewijn Aasman (Presenter)
Institute for Clinical and Translational Research at Einstein and Montefiore (ICTR)

Manuel Wahle, Institute for Clinical and Translational Research at Einstein and Montefiore (ICTR)
Saurabh Rawal, Institute for Clinical and Translational Research at Einstein and Montefiore (ICTR)
Shilpak Banerjee, Institute for Clinical and Translational Research at Einstein and Montefiore (ICTR)
Parsa Mirhaji, Institute for Clinical and Translational Research at Einstein and Montefiore (ICTR)

Presentation Materials:

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