RTSM/IRT In Clinical Trials: The Complete Guide

Over the past 25 years, RTSM/IRT systems have evolved from manual processes to sophisticated, AI-enabled platforms that support complex trial designs and adaptive methodologies. Key capabilities include real-time inventory visibility, automated resupply algorithms, stratified and dynamic randomization options, and emergency unblinding procedures. Modern systems also integrate seamlessly with eClinical tools, ensuring streamlined workflows and robust compliance with global regulatory requirements. Emerging trends include AI-driven supply forecasting, enhanced direct-to-patient features, and mobile device interfaces, all designed to meet the demands of decentralized trials. These innovations improve inventory accuracy, reduce overages by up to 50%, and optimize supply chain logistics.

To successfully implement RTSM systems, sponsors must prioritize vendor expertise, scalability, integration capabilities, and user training. By leveraging cutting-edge RTSM technology, clinical trials can achieve greater flexibility and higher data quality, paving the way for innovative trial designs and efficient operations.