White Paper
Solving the challenges of data in clinical trial supply chains for rare diseases
Rare disease clinical trials face unique supply chain hurdles: small, dispersed patient groups drive higher costs, complex logistics, and tighter compliance needs. Data is central to solving these challenges but is often fragmented across CROs, CMOs, logistics providers, and clinicians, creating silos and inefficiencies. Interoperability issues, reliance on handwritten notes, and limited visibility add risks of delays and errors. Emerging solutions—intelligent OCR, AI, and IoT—can unify data into a single source of truth, improve traceability, and enable real-time insights. With the right systems, organizations can cut cycle times, lower costs, and safely accelerate life-saving therapies.