Case Study: Successful System Integration for Decentralized Clinical Trials endpoint Clinical and THREAD’s Solution Ensures the Successful Flow of eConsent Data
Today’s clinical studies are increasingly complex and require patient-centric trial designs, like decentralized trials, more than ever before. As trials incorporate more decentralized components there is an ever-present need for multiple system integrations to support the various trial functions, with the goal being that all trial data flows seamlessly between systems and is stored in one repository for efficient oversight and analysis. These numerous integrated systems require closely managed integration, synchronization, and supportive partnerships to minimize error and maximize efficiency. In this case study, partners endpoint and THREAD dig-in to explore how IRT can be integrated with decentralized clinical trial (DCT) technology, working through tightly integrated workflows, to provide a streamlined process, a better user experience for Sites and Participants, higher quality data and real-time access to information.
Patient Engagement Platform Checklist
November 22nd 2024Modern clinical trials are more complex than ever, and one significant reason is the increased focus on patient engagement. Incorporating a patient engagement platform into your clinical trial enhances the patient experience and can lead to more successful trials with stronger, more reliable outcomes. We put together this helpful checklist of key features to look out for when choosing a platform for your study.
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.
