Optimal Data Architecture for Clinical Datawarehouses

• Date: November 05, 2009

Clinical data capture has brought in the use of modern computer front-ends but the back-end processing still lags behind in sophistication. The current processes are very cumbersome, time consuming and non-repeatable.

The solution to warehousing the ever-changing structures of clinical data will require 1) a single, multi-trial repository based upon abstract rather than directly representational data models, and 2) adaptive, meta data-driven ETL programming.

To learn more on the impact of such a transformation by way of simplified validation, elimination of redundant processes and increase revenue by reducing time-to-market read on..