InterSystems IRIS for Health (Arm64) Community Edition
InterSystems IRIS for Health™ is a healthcare data platform for building scalable, mission-critical apps with FHIR and analytics.
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Product Description
Overview
InterSystems IRIS for Health™ is a complete platform designed to support complex, data-intensive, and mission-critical healthcare applications. It combines data management, interoperability, transaction processing, and analytics in a single solution.
Healthcare Interoperability
The platform includes extensive development tools and ready-to-use, extensible transformations for major healthcare standards, both modern and legacy, including:
FHIR (DSTU2, STU3, R4)
HL7 v2 and v3
IHE profiles such as XDS.b, XCA, PIX, PDQ, and MHD
CDA and C-CDA
DICOM
X12
Native FHIR Support
InterSystems IRIS for Health provides the foundation for FHIR-based applications through a built-in FHIR repository with full read and write capabilities. FHIR resources can be exchanged via RESTful APIs using JSON or XML formats.
Analytics Capabilities
The platform delivers embedded, advanced analytics for distributed SQL, business intelligence, and natural language processing in real-time, data-intensive environments, with support for a broad ecosystem of third-party tools.
Unified Development Environment
A unified graphical and code-based environment streamlines the development and maintenance of real-time, data-rich applications. It enables easy tracking of message flows, faster debugging, simplified troubleshooting, reduced development effort, and quicker time to market.
Freedom of Choice
With a multi-model architecture, developers can choose the most suitable data model for each use case and access it using their preferred programming language.
Highlights
Scales efficiently from initial deployment to enterprise workloads with vertical and horizontal growth
Native support for FHIR and all major global healthcare messaging standards for rapid data ingestion, normalization, and sharing
Advanced data preparation features to build impactful healthcare models and improve learning and analytics outcomes