Hyperion
by Health Chain
Hyperion is a FHIR-native cloud platform unifying healthcare data management for payers.
Hyperion is Health Chain’s FHIR-native Data Intelligence Platform that enables Payers, Providers, and Integrated Delivery Systems to transform normalized health data into actionable intelligence. By leveraging Centaur’s data processing and normalization capabilities, Hyperion delivers a canonical data foundation for automated analytics, quality measure computation, and advanced insights that support regulatory compliance, value-based care, and enterprise performance improvement.
Hyperion provides the full stack for data visualization, measure evaluation, and real-time intelligence across clinical, claims, provider, and operational domains - empowering business, actuarial, and clinical teams to make confident, data-driven decisions.
Data Intelligence, Analytics & Insights
Unified Data Foundation
Built on Centaur’s FHIR-native data processing capabilities, Hyperion provides a curated canonical model ensuring high-quality, standardized, and query-ready data across all domains.
Pre-Built Analytic Models & Data Marts
Out-of-the-box intelligence for quality, utilization, financial performance, and member engagement - customizable for enterprise-specific needs.
3 Party Integrations
Seamlessly connect best of breed workflow and analytics tools to Hyperion’s canonical data model for more comprehensive insights
Utilization & Cost Analytics
Identify outliers, high-cost services, and care variation through near real-time analytics and configurable reporting.
Risk & Performance Insights
Population and member-level views for understanding risk revenues, care gaps, and value-based contract performance.
Architecture & Deployment
Hyperion’s container-based architecture can deploy directly in your Azure tenant to provide:
- Enterprise-grade analytics infrastructure leveraging Databricks, Synapse, and Power BI integrations.
- Transparent compute and data lineage for compliance and auditability.
- Secure, role-based access for analytics, reporting, and data science teams.
Key Use Cases
- Quality Improvement: Automate quality reporting and identify care gaps in real-time.
- Value-Based Care Analytics: Track performance and financial outcomes by provider, population, or contract.
- Actuarial & Finance Insight: Align clinical data with utilization and cost drivers.
- Enterprise Reporting: Create unified, FHIR-native analytics pipelines for operational and regulatory reporting.
