#DTL

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Ensemble supports Data Transformation Language (DTL) for describing data transformations. DTL is an XML language. Ensemble provides wizards and graphical tools for creating, editing, and testing DTL transformations. A data transformation is a Caché class like the following. If you prefer you can use Studio to edit the class definition directly and bypass the wizards and graphical tools.

Documentation.

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Announcement Larry Finlayson · Jun 30, 2025

Building HL7 Integrations (3 days) – IN PERSON July 22-24, 2025 / Registration space available

  • Building HL7 Integrations (3 days) – In Person (Boston, MA) July 22-24, 2025
    • Build and configure HL7® V2 interfaces using InterSystems integration technologies

    • This healthcare-focused 3-day course teaches implementation partners, integrators and analysts how to build HL7® integration solutions.

    • Students build a production that processes and routes HL7 messages.

    • Students learn how to work with the pre-built HL7 business services, business processes and business operations to receive and send HL7 messages.
#HealthShare #InterSystems IRIS for Health #Health Connect #DTL #HL7
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Announcement Marcus Wurlitzer · May 29, 2022

Dynamically pseudonymizing FHIR data: FHIR Pseudonymization Proxy

Hi, I am glad to announce another submission to OpenExchange and the current contest, the FHIR Pseudonymization Proxy. The FHIR Pseudonymization Proxy adds a transparent pseudonymization layer to any existing FHIR server, enabling clients to perform queries on the FHIR server – which may contain personal identifying information – and receive an on-the-fly pseudonymized version of the data.

The proxying mechanism is realized with the IRIS for Health platform through an interoperability production, BPLs and DTLs, and the FHIR interoperability adapter.

#InterSystems IRIS for Health #Business Process (BPL) #DTL #FHIR #Interoperability
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Announcement Amir Samary · Jan 29, 2020

Readmission Demo 2.0 is here! And it is open source now!

 

Hi everyone,

I am very pleased to announce that the Readmission Demo has been released as open source. Many thanks to the Solution Factory team that worked hard on making this possible.

Here are the changes:

  • It is now running on top of IRIS Community 2019.3.0.308.0.

  • It has synthetic data based on Synthea instead of the real data we were using before. But the machine learning models are 100% real

  • Image RRLACESrv has been renamed to “image-riskengine”

  • Image “readmissionsrv” has been renamed to “image-risksrv"

  • We refactored a lot of the code on image-riskengine to look better.
#InterSystems IRIS for Health #Business Process (BPL) #DevOps #Docker #DTL #FHIR #InterSystems Business Solutions and Architectures #Machine Learning (ML) #Open Source #REST API
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