Building a Data-Driven Operating Model to Optimize Biospecimen Management & Biospecimen Operations
3:45 pm - Monday 16th November 2026
- Enabling Earlier Trend Detection: Leveraging integrated data and real-time operational monitoring to identify emerging trends, recurring issues, and operational risks before they impact sample quality, study timelines, or data integrity
- Improving Operational Efficiency: Replacing manual, reactive processes with automated insights that enable faster decision-making, targeted interventions, and more efficient biospecimen operations
- Building a Scalable, Predictive Operating Model: Establishing standardized digital workflows, governance, and analytics that support consistent execution and enterprise-wide scalability, while transforming operational data into actionable intelligence that strengthens quality oversight, inspection readiness, and proactive study management
