Pharma companies are increasingly in need of privacy-compliant ways to leverage first- and third-party data for real-world evidence generation. Industry standards are changing, however, as more novel and specialized datasets are required by researchers. Handling this sensitive data, be it de-identified or identifiable, or both, requires high-governance technology to do so securely.

With the proper technology, consent and privacy management processes, we’ll explore how you can effectively build a registry of patients interested in participating in research, such as clinical trials or prospective observational studies. We’ll also dig deeper into innovative data solutions touching on maternal health outcomes, race, ethnicity, mortality, rare disease and more.

Learning Objectives:

• Explore the benefits of building a patient registry for interventional and prospective observational studies
• Learn the importance of accurate patient matching and identity resolution techniques
• Understand the challenges and strategies for managing privacy and consent across complex partner ecosystems
• Discover new and innovative datasets to drive real-world evidence generation for longer term outcomes and safety studies

Seating is limited.

Sponsor: Health Verity