Practical Guide to Using Machine Learning for RBQM in a Clinical Trial Landscape

Artificial intelligence technology, including machine learning (ML), is an increasingly hot topic in clinical research, but there are still important questions to be answered when putting these systems into action. This practical webinar will help set your organization up for success by offering a fresh perspective on the key goals of risk-based quality management (RBQM) and how you can best implement ML as part of this process for streamlined and effective data exploration. In this webinar, Remarque Systems experts discuss: - How to align your team on the basic RBQM framework to reorient your trial management strategy toward your goals - Where in the RBQM process ML can be leveraged most easily - Common examples of ML in our day-to-day lives - Practical ways to successfully utilize and leverage ML in your day-to-day clinical research processes, including real-world examples Presenters: Amanda Coogan, Senior Customer Partnership Manager, Remarque Systems Rhonda Roberts, MSPH, Manager, Data Scientist, Remarque Systems