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.
Unlock Commercial Growth through Data-Driven Patient and HCP Insights
May 2nd 2025Leveraging data-driven patient and healthcare provider (HCP) insights, including social drivers of health (SDOH), is essential for life sciences companies to continuously improve patient engagement and commercial success. Mark Rodgers, AVP of Commercial Analytics at Inovalon, discusses how identifying treatment milestones, assessing HCP performance, and segmenting patient populations using SDOH data can drive targeted strategies that improve healthcare outcomes and market access
A Guide to Patient Engagement & Recruitment Solutions
March 18th 2025Clinical trials have become increasingly complex over the past decades, making participant recruitment more challenging than ever. This guide explores common recruitment obstacles and offers strategies to overcome them using a patient engagement and recruitment solution.