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How Real-Time Data Analytics Improves Clinical Trial Performance | PhastarHow Real-Time Data Analytics Can Address Common Pain Points in Clinical Trials - Phastar
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How Real-Time Data Analytics Can Address Common Pain Points in Clinical Trials

2 minute read

Published: July 6th, 2026

Christian Schmidt, Associate Director at Phastar, explores how real-time data analytics is helping sponsors overcome some of the most persistent challenges in clinical trial management. In this latest article for Pharmaceutical Outsourcing, he discusses why traditional approaches to data review are struggling to keep pace with the increasing volume and complexity of clinical trial data, and how unified analytics platforms can provide the timely, actionable insights needed to improve oversight and decision-making.

The article examines common pain points including site monitoring and patient recruitment, highlighting how real-time analytics, risk-based quality management (RBQM), predictive modeling, and interactive data visualizations can help identify risks earlier, optimize resources, and improve trial performance. Christian argues that by combining advanced statistical methodologies with modern analytics technologies, sponsors can move beyond fragmented, manual processes and unlock greater efficiency, data quality, and patient safety across the clinical development lifecycle.