Clinical research is typically costly for sponsors and burdensome for providers and patients. New methods and approaches, such as integrated evidence generation using real-world data networks and automated study platforms, are accelerating the path from start-up to read out.

Join presenters as they explore innovative approaches for:

1. Using technology to automate data collection and enrichment from multiple sources for studies and registries
2. Scaling research faster and at less cost
3. Leveraging highly automated registries and data networks as platforms to meet multiple stakeholder requirements
4. Meeting multi-stakeholder requirements without the need for building multiple programs
5. Filling data and evidence gaps with data linkage such as to social determinants of health, death indices and claims
6. Regulatory and other research use cases