Population Health Analytics: Using FHIR to Solve Regional Healthcare Data Fragmentation
How Population Health Data Analytics Improves Care Quality and Reduces
European university clinics are utilizing a single FHIR-native platform for population health data analytics.
Summary
Kodjin Analytics provides a single FHIR-based longitudinal record to address data fragmentation in university hospitals, enabling real-time identification of chronic disease management gaps and care deficits. This facilitates proactive outreach and quality improvement.
Details
University clinics in Europe face increasing complexity due to chronic diseases, which account for about 80% of the EU's disease burden. These settings require lengthy, multi-specialty, and costly care pathways. A major challenge is that data remains scattered across multiple systems—including EHRs, registries, billing feeds, and national datasets—leading to
Technology Note
FHIR（Fast Healthcare Interoperability Resources）は医療データ交換の国際標準。このエントリの関連技術: FHIR
Original content copyright by respective publishers