THOUGHT LEADERSHIP

Building a robust and efficient electronic data capture system (EDC) for today’s complex clinical trials is a major undertaking. The elements of the EDC must be carefully planned, the programming must be succinct, and the risks to data integrity must be considered. Clearly, these crucial requirements demand careful thought and can be time-consuming. An option for the timely initiation of a trial may be to split the release (a.k.a., the “go-live”) of EDC elements in a controlled and considered manner. PROMETRIKA’s Data Management team has extensive experience with planning and executing successful split-release EDCs.

The development of ‘artificial intelligence’(AI)-driven tools for data management has accelerated in the past few years. The promise of these systems is to provide a more intuitive experience for data management and sponsor teams, making it easier to track trends, spot anomalies, and generate near-real time data reports. These features, combined with AI’s ability to learn from data, make these tools a modern essential for improving data quality and accelerating clinical trials.

Members of PROMETRIKA’s Data Management (DM) team attended the recent Society for Clinical Data Management (SCDM) conference, held in Boston this year. This annual conference brings together the global data management community for discussions of the latest developments and challenges faced by DM professionals.