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hao wang

Automate Your Sample Tracking with elluminate Sample Management Analytics

hao wang

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. Life science companies who are looking to streamline their approach to patient biomarker and sample data tracking know that having the ability to track samples in near real-time is critical to the success of their trial.

elluminate® Sample Management Analytics provides a foundation to streamline sample tracking processes and remove the need for manual data reconciliation and spreadsheet trackers. With built in automation for data reconciliation, sample journey visualizations, and statistical reports, Sample Management Analytics enables you to track samples in near real-time to proactively identify issues and mitigate potential roadblocks.

This 30-minute webinar will demonstrate how elluminate Sample Management Analytics improves the accuracy of reporting, eliminates challenges caused by decision-making based on invalid data, and reduces the risk of running into costly downstream errors.  This product is now available and can be added to your elluminate platform.

What You Will Learn

Attendees will gain insights into:

  • The benefits of using a centralized platform for biomarker sample and patient data tracking
  • How to automate the standardization of sample data across vendors to simplify the sample tracking process
  • Automating EDC / lab manifest collection and data set reconciliation processes for increased efficiency and near real-time visibility

Watch the recording

Who Should Attend

  • Clinical Operations
  • Clinical Data Management
  • Clinical Informatics
  • Clinical R&D IT


2024 Industry Outlook: Driving Tomorrow’s Breakthroughs with Clinical Data Transformation