snapIoT Announces AI-Powered Automated IRB Packaging and UAT Reporting for Patient Engagement Solutions

Multilayered strategies such as working with patient advocacy organizations and leveraging technology can help industry better partner with patients.

Ashley 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.

Modern clinical trials can be an overwhelming experience for participants, compromising everything from medication adherence and data quality to overall study outcomes. AiCure’s H.Code is a patient engagement platform that reinvents the clinical trial experience for participants using cutting-edge AI, easy communication, and dedicated support for sites. Read our fact sheet to learn how H.Code extends the reach of your clinical team using an AI-powered analytics platform and a user-friendly smartphone app.

Stephen 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.

Patient 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.

New paper features insights from nearly 100 experts on four key barriers to clinical trial access.