Sample Management Analytics

Streamline sample tracking processes with data flow automation. With more trials relying on biomarker samples as end points, tracking and managing sample data has become a critical element of trial operations. While the volume, type, and frequency of samples vary from trial to trial, even a small study can generate a large amount of sample-related data. With numerous labs involved, it is a continuous challenge to track and evaluate the status of individual samples. Sample Management Analytics provides a foundation to streamline sample tracking processes and remove the need for manual data reconciliation and spreadsheet trackers. With elluminate Sample Management Analytics:

• Map and automate sample data flow across vendors to simplify data transformation processes
• Automate EDC / lab manifest collection and data set reconciliation processes for increased efficiency and real-time visibility

With up-to-date analytics, issues are proactively identified so that corrections can be made at the source. As a result, the accuracy of reporting is improved, decision-making based on invalid data is eliminated, and the risk of running into costly downstream errors is reduced. elluminate Sample Management Analytics provides:

• Visualizations to track the status of the sample ecosystem and lifecycle in real-time, including sample location and viability tracking to help forecast data for analysis
• Out-of-the box analytics ranging from basic metrics to complex flow tracking so you can access the exact information you need at any point in the sample journey
• An extensible base platform for future analytics using sample collection and biometric lab data