Medidata Launches Holistic RBQM Functionality
Medidata has launched Medidata Risk Management, the latest addition to its Risk-Based Quality Management (RBQM) suite, a holistic group of solutions aiming to simplify the adoption of proactive clinical operations oversight activities. These include centralized monitoring, reduced source data verification and source data review, remote source document review, and implementation of decentralized trial activities.
Built on the Medidata Clinical Cloud and fully integrated with Medidata’s centralized monitoring tool, Medidata Detect, Medidata Risk Management supports sponsors and contract research organizations (CROs) as they identify critical data and processes, associated risks, and implement mitigation strategies as defined within ICH E6 (R2). With recent updates to Medidata Detect, study teams can also compare site differences across all participants to uncover trends or anomalies and determine whether there are discrepancies in data collection or integrity to be investigated.
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Driving Diversity with the Integrated Research Model
October 16th 2024Ashley Moultrie, CCRP, senior director, DEI & community engagement, Javara discusses current trends and challenges with achieving greater diversity in clinical trials, how integrated research organizations are bringing care directly to patients, and more.
AI in Clinical Trials: A Long, But Promising Road Ahead
May 29th 2024Stephen Pyke, chief clinical data and digital officer, Parexel, discusses how AI can be used in clinical trials to streamline operational processes, the importance of collaboration and data sharing in advancing the use of technology, and more.
The Rise of Predictive Engagement Tools in Clinical Trials
November 22nd 2024Patient attrition can be a significant barrier to the success of a randomized controlled trial (RCT). Today, with the help of AI-powered predictive engagement tools, clinical study managers are finding ways to proactively reduce attrition rates in RCTs, and increase the effectiveness of their trial. In this guide, we look at the role AI-powered patient engagement tools play in clinical research, from the problems they’re being used to solve to the areas and indications in which they’re being deployed.
