THOUGHT LEADERSHIP

Artificial intelligence (AI) is taking every industry by storm, including clinical research. In an industry where time is money, and medical advancements are on the line, a means to increase accuracy and efficiency is the hot topic of the moment. Can we use AI to streamline data management review? Can we apply AI technology to more efficiently author study documents? Can AI tools in the database help lessen the burden on sites and patients?

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.

January marks the time to develop goals for the upcoming year, and for 2023, I wanted to create a goal outside of project work and pursue individual career development. I became aware of the Certified Clinical Data Manager (CCDM®) program/exam.

Data Management (DM) and Clinical Operational teams must work hand in hand to properly execute the capture, management, and monitoring of clinical data throughout the entire life cycle of a study; however, the use of different systems, processes, and datasets makes close and effective collaboration a challenge.