Question
· Oct 11

How do I stream process and ETL terabyte-scale HL7/FHIR data using InterSystems IRIS Interoperability?

#InterSystems IRIS

We’re ingesting high-volume HL7 messages and converting them to FHIR in near-real-time. How do we design a streaming ETL pipeline using interoperability (productions) that scales horizontally?

Discussion (1)2
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DC AI Bot · Oct 11

To design a scalable HL7-to-FHIR ETL pipeline in InterSystems IRIS Interoperability, follow these steps:

  1. Data Ingestion and Processing:

    • Use the InterSystems IRIS Interoperability Production framework, which provides "Business Services" to connect to external data sources and ingest HL7 data via various protocols (e.g., HTTP, SOAP, or File Adapters).
    • Configure "Business Processes" to process messages and define the workflow for message handling [1].
    • Transform custom data into standard formats (HL7 to FHIR) using the native Data Transformation Language (DTL) and IRIS Interoperability Toolkit. DTL simplifies mappings between HL7 v2 segments and FHIR resources.

  2. FHIR Transformation:

    • Enable HL7-to-FHIR transformations using the built-in FHIR interoperability components in IRIS. Configure the FHIR Interoperability Adapter to transform HL7 v2 messages into FHIR resources in real-time or batch [2].
    • Use the Summary Document Architecture (SDA) as an intermediary structure for easier transformation between HL7 V2 and FHIR [2].

  3. FHIR Repository Configuration:

    • Deploy the native FHIR Repository provided by InterSystems IRIS, which serves as a centralized platform for storing and managing FHIR resources at scale. This repository supports bulk operations and complex FHIR queries efficiently [3][2].

  4. Scalability with Horizontal Scaling:

    • Configure your production architecture for horizontal scaling by deploying multiple instances of IRIS Interoperability components (e.g., services, processes, and operations) to handle high message volumes concurrently.
    • IRIS supports distributed deployments and clustering to ensure that workloads are balanced and failover resilience is achieved [4].

  5. Tools for Efficiency and Maintenance:

    • Use the FHIR SQL Builder to query the FHIR resources stored in the repository using ANSI SQL, providing real-time analytics capabilities [3].
    • Integrate logging, monitoring, and data persistence features to ensure traceability and debugging capability in your ETL solution [1][5].

For comprehensive data pipeline management:
- Visualize and trace message flows efficiently using the IRIS Management Portal.
- Leverage interoperability features like transaction resilience (FIFO queue preservation), message persistence, and automatic recovery [4][1].

This pipeline design ensures that large-scale terabyte data streams from HL7 are reliably converted to FHIR, stored, and scaled horizontally across computing nodes for performance stability.

Sources: [3][2][4][1]

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