Archives: Agenda
Exploring patient-centricity in the clinical trial supply chain
- Benefits and components of patient-centric model
- Current challenges including patients and researchers perspectives
- Implementation and AI tools
Advancing clinical development through direct-to-patient models and Artificial Intelligence
- Examining patient and site perceptions of direct-to-participant investigational product shipments
- Understanding how decentralized distribution models influence engagement, site workload and data integrity
- Exploring how AI is supporting trial design, operational efficiency and decision-making across the study lifecycle
CTS sourcing and procurement trends and challenges – external manufacturing as the “procurement´s operational arm”
Accelerate, cultivate, innovate!
- Managing relationships with the modern supplier
- How Bayer’s external relationship governance model adds value to the business ensuring a reliable partnership and complements the sourcing & procurement functions within CTS scope
- Trends on procurement roles and the necessity to have an operational perspective
- Different approaches from different business necessities
- Trends on how to best manage CMOs, 3PLs and clinical trials partners
Integrating Forecasting and RTSM – unlock the full potential of your clinical supply chain
- Forecasting: testing RTSM resupply algorithms to reduce waste and prevent stockouts
- Real-time control: Monitor your trial in real time and react quickly to changes
- A key data source for forecasting: Use RTSM data to improve clinical demand accuracy over time
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Top five inspection preparation tips for clinical supply chain teams
- Strengthening inspection readiness through audit-ready documentation and traceability
- Mitigating risk through robust deviation and excursion management
- Enhancing compliance through strong vendor oversight and team preparedness
How to set up a phase appropriate biotech logistics process which is viable, reliable, and robust
- Why phase‑appropriate logistics matters: Contrast early‑phase needs (speed, flexibility, limited batches) with later‑phase demands (cost efficiency, scale, partnerships).
- Defining scope + managing complexity: Clarify what logistics covers (R&D, CMC, clinical, cold chain, inventory, vendor management) and avoid “boiling the ocean” by right‑sizing processes.
- Building reliable systems: Align on cold‑chain qualification/validation, understand regulatory implications, and evolve tools from spreadsheets to integrated supply chain software.
- People & partners as drivers of success: Leverage SME expertise, combine AI with human intelligence, and manage vendors intentionally to support each clinical phase transition