Beyond the Checkbox: How Rethinking Your Cardiac Monitoring Approach Can Dramatically Improve Trial Outcomes

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.

Modern 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.

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.