Value-based care promises better outcomes and shared savings, but delivers neither without unified patient data. Most organizations still struggle to stitch together complete care histories across settings and time. This blueprint shows how to build longitudinal records that transform fragmented information into strategic advantage.
Understand why EHR adoption alone hasn’t fixed interoperability. Learn how clinical, behavioral, and financial data remain siloed despite modern standards, and why this fragmentation directly undermines value-based contract performance.
Get the architectural framework for aggregating data across providers, time periods, and care settings. Master the ingestion, harmonization, and identity resolution layers that create a true single source of truth.
Discover how longitudinal data powers AI models that identify high-risk patients before adverse events occur. Learn to blend claims lag with real-time clinical signals for daily-refreshed risk scores that drive proactive interventions.
See how unified timelines expose missed preventive screenings, medication non-adherence, and specialist follow-ups. Empower care coordinators with FHIR-native views that show exactly what each patient needs, when they need it.
Improve HCC capture accuracy, eCQM reporting consistency, and HEDIS measure completeness. Learn how data fusion between claims and clinical records reduces coding errors and unlocks millions in previously missed risk-adjusted revenue.
Follow a phased roadmap designed for live healthcare environments. Start with critical data flows, expand to analytics layers, then add AI capabilities—all while maintaining existing workflows and earning trust through visible wins.
