Data-Driven Insights can Optimize Clinical Trial Site Selection

A pharmaceutical company aimed to launch a Phase III clinical trial for a new oncology drug, focusing on efficient and effective patient recruitment across diverse regions. They evaluated patient populations by analyzing demographics, social determinants of health, and geography. Investigator profiling included practice details, affiliations, referral networks, and clinical trial experience. The final step involved selecting and extracting target lists for implementation.

This white paper presents findings from the PurpleLab Migraine Study, which leverages real-world data to analyze migraine prevalence, treatment variations, and provider insights. The study examines data from approximately 10 million Americans diagnosed with migraines, focusing on patient demographics, treatment pathways, and healthcare provider specialties. Key findings include the high prevalence of migraines among females aged 18-54, racial and ethnic disparities in treatment, and the significant role of specialized providers like psychiatrists and neurologists in managing migraine care. It highlights the importance of tailored treatment approaches and the potential benefits of complementary and alternative medicine therapies.

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.

AliveCor knows that cardiac safety is critical, with concerns often driving drug withdrawals from trials and the market. Our solutions go beyond compliance to boost regulatory trust, data integrity, and trial success. As the only company offering integrated 6L and 12L ECGs, we provide comprehensive monitoring—onsite and remotely—to meet complex cardiac requirements. Our innovative tools empower sponsors and CROs to control trial data, enabling faster, smarter decisions throughout the research lifecycle.