Clinical Research Blog

BEKhealth and Areti Health collaborate to reduce patient dropout rates in clinical trials using AI-driven engagement. Through predictive monitoring and automated personalized outreach, researchers can flag disengaged participants early and re-engage them.

AI-powered tools like BEKplatform analyze broad EMR and unstructured data to identify and engage diverse patient groups traditionally overlooked—helping build inclusive, accurate trial cohorts and accelerating recruitment.

BEKhealth’s BEKplatform uses AI to analyze structured and unstructured EMR data, automating recruitment for patient-centered clinical trials. By identifying eligible participants faster and more accurately, it enhances engagement, diversity, and trial outcomes—all while reducing manual chart review overhead.

BEKhealth and Areti Health now enable seamless AI‑powered recruitment: BEKplatform identifies eligible patients, then Areti’s AI Coordinator automatically engages them—ensuring rapid follow‑up and reducing lead loss.

AI technology accelerates trial recruitment by automating patient profiling from EMR data, reducing bias through enhanced diversity strategies, improving accuracy using NLP, ensuring regulatory compliance, and boosting engagement to improve retention and speed enrollment.

AI-powered tools like BEKplatform help both large and small pharma streamline patient recruitment—analyzing EMR data quickly, reducing bias, and enabling smaller teams to match large-scale resources efficiently.

Patient recruitment remains a significant challenge for clinical researchers today. Despite advancements in technology and methodology, attracting...