Connected patient data gives biopharma teams a clearer view of the patient journey

Patient data should help teams make decisions early enough to improve the patient journey. The information needed for patient journey analytics often sits across specialty pharmacies, hubs, patient support programs, claims, marketing and other sources.

This e-book presents five case studies showing how biopharma organizations used ZAIDYN® Patient Analytics & Insights to create connected patient data foundations across sources. The resulting foundations supported end-to-end patient journey analytics, patient onboarding, conversion analysis and measurement.

Inside the e-book, see how organizations:

• Connected specialty pharmacy, hub and Komodo claims data, identifying 95% patient overlap and enabling end-to-end patient journey analysis
• Integrated specialty pharmacy and hub data, identifying 98% patient overlap and supporting patient triage and onboarding efforts
• Connected longitudinal patient access and claims adjudication data with specialty pharmacy and hub data, identifying 95% patient overlap and supporting patient-level analytics
• Linked marketing and hub data, identifying 95% patient overlap among patients enrolled through a marketing channel and supporting analysis of conversion toward therapy initiation
• Matched client shipment and digital health platform data, matching 50% of the user base and creating a foundation for quarterly measurement of lead and adherence lift

Across the five cases, fragmentation is the recurring challenge. Connecting and mastering patient data gives access, patient services, analytics and IT teams a shared view. That foundation can help teams identify barriers, compare partner performance and make more confident decisions without rebuilding the data environment each time a therapy, partner or source changes.

Read the case studies