Maximize Data’s Impact: Standardize, Analyze, and Transform
In today’s healthcare ecosystem, data is abundant but must be turned into actionable intelligence to drive better decisions and improve outcomes. Health Chain’s Hyperion™ platform leverages a next-generation FHIR-native Common Data Model (CDM) to enable seamless analytics and consumption of critical healthcare data from diverse sources and data domains.
The Data Jigsaw: Piecing Together Actionable Insights
In healthcare, data comes in so many shapes and sizes, it’s like trying to complete a jigsaw puzzle with missing pieces. Without a unified approach to standardization and analytics, gaining real-time, actionable insights becomes a frustrating game of trial and error, slowing down decisions and increasing costs.

A Unified Data Model for Comprehensive Analytics
Our FHIR-native data platform provides a robust Common Data Model (CDM) that normalizes disparate healthcare data into the FHIR standard, enabling seamless integration and analysis across systems, data domains and industry-standard common data models.
Real-Time Analytics Across the Enterprise
Hyperion™ revolutionizes the way data is consumed with SQL on FHIR, converting complex FHIR data into the relational format for easy consumption across the enterprise.

Standardized Analytics Architecture for Governance and Fresh Insights
Access FHIR data from a custom CDM, or industry standard data models such as OMOP, Tuva, etc., providing real-time information and ensuring data access is governed across the organization.
Why Choose Hyperion™ for Health Analytics Enablement?
FHIR Native:
uilt on FHIR, Hyperion™ empowers organizations to leverage the normalization benefits of the FHIR standard, beyond just checking the box for compliance.
Real-Time Analytics:
Unlock the power of real-time, SQL-based analytics on FHIR data alongside other healthcare data domains.
Data Sharing:
Seamlessly integrate specific data with third-party applications, enriching the current analytics ecosystem rather than replacing it.
Data Governance:
Leverage structured governance around the users, applications, etc. that are accessing this data.
Data Quality:
Provide access to consistent, high-quality data through FHIR-based standardization.