By Clinical Informatics News Staff

May 5, 2017 | Bioclinica eHealth Solutions division has released the industry’s only purpose-built, end-to-end, configurable randomization and trial supply management (RTSM) software platform. Bioclinica AGILE RTSM provides seamless clinical supply forecasting and management together with IRT to meet the industry’s demand for greater end-to-end efficiencies in the face of increasing time, cost, and resource constraints. The flexible, intelligent RTSM platform combines the latest release of Bioclinica’s Trident Agile IRT and the advanced Optimizer clinical supply forecasting and management software to significantly cut time, effort, and cost for even the most complex global trials.

“Traditional, siloed, and heavily customized systems create significant efficiency gaps, with costly re-work and drawn-out timelines,” wrote Bioclinica eHealth Solutions President Mukhtar Ahmed. “Our customers are able to view working IRT studies from their protocols in as little as 72 hours, and implement, test, and deploy within 7-10 days. Because the RTSM system also integrates with clinical, manufacturing and ERP systems, customers are reducing drug waste and study costs by millions of dollars, and identifying changing trial conditions months in advance to reduce patient and study risk.”

The Bioclinica AGILE RTSM platform provides real-time visibility and reforecasting capability based on study actuals. By combining Bioclinica Optimizer supply management functionality with Trident Agile IRT, clinical operations personnel and clinical supply managers can easily create and compare supply plans, accurately predict demand months in advance, and manage supplies with the ability to analyze study requirements in real time − helping detect and prevent potential supply issues.

Integration across the clinical supply chain and development process enables Bioclinica’s customers to:

• Create and compare supply scenarios − before, during or following the development of the study protocol − against trial objectives such as schedule, cost and feasibility to determine the optimum supply strategy
• Accurately assess drug demand at both the study and program level well in advance of trial start, and provide finished goods to API
• Design, build, implement, test and deploy protocols in as little as two weeks, with an integrated supply strategy
• Conduct fast, accurate patient randomization based on protocol design
• Implement an integrated, optimized RTSM design to get the right drugs to the right sites and patients at the right time
• Utilize continually updated trial actuals in the integrated RTSM study to quickly identify and adjust enrollment rates and supply needs
• Reduce time, effort, and cost for drug destruction and reconciliation through continually updated supply plan and reduced waste
• Conduct database lock quickly and with significantly lower cost and effort, and with higher quality data, due to continual optimization throughout the study