EHE EHR
EHE EHR is a shareable, longitudinal care record platform that unifies patient data across all care levels, regionally or nationwide.
Highlights
Establishes continuity of care across institutions and regions.
Built on standards required for EU-wide data exchange: IPS, EPS, EEHRxF.
Provides structured, harmonized data for analytics, clinical quality programs, and public health.
Core included products:
- EHE Medical Records Database
- EHE Document Registry and Repository
- EHE FHIR Repository
- EHE Terminology Services
- EHE Infrastructure
Ideal for:
- Countries lacking longitudinal records
- Regions deploying shared care records
- National platforms needing EU-certified EHR capabilities under EHDS
Use Cases
Creation and Management of a Longitudinal, Shareable Care Record
Consolidation of all clinical documents and discrete medical data (conditions, allergies, procedures, medications) into a single, unified, continuously updated patient record across hospitals, regions or nationwide.
Structured Clinical Data Storage via FHIR & EHR Repositories
Use of EHE Medical Records Database and EHE FHIR Repository to store structured clinical data, ensuring semantic consistency for clinical workflows, analytics, quality programs, and long-term governance.
Support for National Clinical Processes (ePrescription, eReferral, eBooking)
Provides the core clinical data foundation required to operate national digital workflows (ePrescription, eReferral, eBooking, scheduling, patient summaries) by supplying structured and shareable EHR data to domain services.
Unified View of Patient History for Clinicians at Point of Care
Enables clinicians to access a complete patient record, including discrete data elements and historical documents in one view, improving diagnostic accuracy, reducing missed information, and supporting informed decision-making.
Clinical Data Standardization Across All Providers
Uses terminology services and structured FHIR based content models to ensure that all providers use consistent clinical concepts, enabling reliable analytics, reporting, and quality measurement.
Foundational Data Layer for CDSS, Analytics, and Research
Provides clean, structured data that can be consumed by CDSS engines, BI systems, population health analytics, and research initiatives, including high-quality anonymized datasets.