Laura Beauregard

Wherever your organization is on the continuum between paper source and digital source, you can enjoy the fact that you have options for clinical data management. Today’s clinical trial might still be conducted entirely on paper, or it might be conducted electronically, via electronic data capture (EDC) or even direct data capture (DDC). There is

No two clinical trials are alike. As there are thousands of trials underway at any moment, that means there are thousands of ways a trial might unfold —and thousands of ways things might go wrong. Among the worst are those that threaten the quality of the data. After all, a trial can’t deliver results if

How should we define success when it comes to clinical trials? There are many things we want to go well, but ultimately, the reason for running a clinical trial is to collect quality data that can support the commercialization of new treatments for patients. So, no trial is a “success” that doesn’t achieve this goal.

Transitioning clinical data management from traditional paper-based processes to electronic can be intimidating for even the most capable and forward-thinking teams. How to best approach the task? When? Under what circumstances? And, is it ever best to just stick with paper? We asked a few of our industry experts at DFnet for their advice and

What are your predictions for the future of data management? “Data management will become more and more focused on integrating data from many, disparate sources, and applying the same standards of scrutiny and quality to each of those sources. Currently, each data source has a unique set of processes associated with it. In the future,