Data Management Strategies for Late Phase

Posted January 2nd, 2012 by Steve Gulyas

Late-phase studies present a set of unique goals and challenges unlike those in earlier phase clinical trials. Because this brand of research strives to reflect the real world, study designs are varied, data may be unavailable, and the uncontrolled environment may present unexpected results. At the same time, there already may be a large body of data available on a given product or disease. As a result, existing information may be leveraged to limit data required to be collected for later phase research.

To assemble a reliable data source in a latephase setting, a strategic data management approach is necessary — and must incorporate some critical factors.

View the full article to learn more about key data management strategies for successful late-phase studies.