Improving Clinical Trial Operations Through Analytics

By Comprehend

Conducting clinical trials today is a complex set of activities that amass huge volumes of data from multiple systems. These varied systems -­‐-­‐ utilized to track patient information, manage inventory, capture patient images, enter medical records, detect issues and perform other functions -­‐-­‐ must efficiently provide trial stakeholders with a comprehensive understanding of trial performance across the entire clinical portfolio at multiple global sites.

As the clinical space grows at a rapid pace, with more trials and increasingly complex protocols regulating those trials, system users at life science companies face the challenge of quickly and easily accessing the synthesized data each system participant needs. Sponsors grapple with the expanding size and complexity of trials, globalization, and more stringent regulations, along with pressures for lower pricing, shorter timeframes and skyrocketing costs. A growing number rely on contract research organizations (CROs) to manage their trials. Data exchange as well as access must be extremely efficient to allow for improved outcomes reporting and easier analysis to support better-­‐ informed, data-­‐driven decisions.