Data Volume, Complexity, Cost: Current Challenges in Clinical Trials and How Saama’s Patient Insights Can Help
Over the last two decades, clinical trials have increased in complexity by approximately 61%. Additionally, data volume has grown to be too complex and resource consuming to be processed manually. As a result, patient data is dispersed over so many various systems, that it’s impossible to get a clear picture of the patient, making it difficult to understand how they’re responding to treatment – thereby impeding a patient’s time to recovery.
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.
