Hello community,

is anybody located in the DACH area healthcare sector working with Dedalus Orbis as patient master and uses a custom HL7 schema for parsing Orbis message structures into Health Connect?

We're facing a migration and I ask myself if I have to create a schema by myself, based on the pdf documentation given by the company. This is a tedious task, so hopefully there is somebody out there willing to share his or her experience.

Kind regards,

Martin

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Introduction

HL7 messages often contain multiple repeating segments such as NTE, AL1, OBX, ZTX, DG1, and others. These segments sometimes require individual processing and routing to different downstream systems. This technical paper introduces a configurable template designed to automate the splitting of these repeating HL7 segments, improving message handling and integration efficiency.

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The default request class, Ens.Request is fine for our initial workflow.

We want to define other workflows that will reuse the same BPL class. These workflows would send messages inbound to the BPL as different request classes.

Is this possible or is it required that we send in a request class matching the context request class in the context tab?

Thank you

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Hey Community,

Enjoy the new video on InterSystems Developers YouTube:

InterSystems Different by Design @ Ready 2025

https://www.youtube.com/embed/TdEperSTNlA
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Article
· Sep 16 1m read
Reviews on Open Exchange - #55

If one of your packages on OEX receives a review you get notified by OEX only of YOUR own package.
The rating reflects the experience of the reviewer with the status found at the time of review.
It is kind of a snapshot and might have changed meanwhile.
Reviews by other members of the community are marked by * in the last column.

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Hey Community,

The InterSystems team recently held another monthly Developer Meetup in the AWS Boston office location in the Seaport, breaking our all-time attendance record with over 80 attendees! This meetup was our second time being hosted by our friends at AWS, and the venue was packed with folks excited to learn from our awesome speakers.

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Hi,

Just thought I'd share quite a handy hook that has helped me out when developing on Health Connect Cloud with VS Code and GitBash. When developing on Health Connect Cloud, if changes are made directly on the server such as routing rules or component deployments, they aren't automatically included in source control, therefore you must export from the server into your local files and push to your remote repo. I'm sure there are easier methods to deal with that which I'm in the process of testing, but as a quick solution I thought it would be handy have a pre-commit hook which triggers a reminder in GitBash - see below.

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Background

For a variety of reasons, users may wish to mount a persistent volume on two or more pods spanning multiple availability zones. One such use case is to make data stored outside of IRIS available to both mirror members in case of failover.

Unfortunately the built-in storage classes in most Kubernetes implementations (whether cloud or on-prem) do not provide this capability:

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Hi Community,

We're excited to share the new video in the "Rarified Air" series on our InterSystems Developers YouTube:

Leading with Empathy: The Human Side of Customer Centricity

https://www.youtube.com/embed/qIb43czL9LY
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Finishing my previous example for multiple IRIS instances, I tried
to compose a local single instance version. The step from the external
Python app to a version using embedded Python seemed to be obvious.
This was a wrong assumption, as some Python libraries just refused installation
into my local Windows-based environment.

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In this tutorial, I will discuss how can you connect your IRIS data platform to sql server db .

Prereq:

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InterSystems FAQ rubric

One way to optimize query performance is to use query parallelism on a per-query or system-wide basis (a standard feature).

This is a technique for dividing the execution of a particular query among processors on a multi-processor system. The query optimizer will execute parallel processing only if there is a possibility of benefiting from parallel processing. Parallel processing is only applicable to SELECT statements.

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Our vendor is developing an interface API on their end to capture HL7 data on a Server Port, and they require us to send a pre-defined HL7 Order message for testing every hour until the API is completely operational.

Is it possible to accomplish that in a Business Operation automatically without utilizing a service or process? The BO is a standard TCP/IP connection.

I'm manually sending the message again from the Operations right now. I do not have access to the System Operation to use the Task Manager feature.

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Background

For a variety of reasons, users may wish to mount a persistent volume on two or more pods spanning multiple availability zones. One such use case is to make data stored outside of IRIS available to both mirror members in case of failover.

Unfortunately the built-in storage classes in most Kubernetes implementations (whether cloud or on-prem) do not provide this capability:

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Hi,

My understanding that in IRIS we create an Inbound Adapter that would act like a Broker (connecting to server X) then have an MQTT outbound adapter to receive those messages?

Is there a quick sample that we could user to show how to setup these two Adapters, I started with this but I couldn’t for example find EnsLib.MQTT.Adapter.Inbound

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I am working on a tool that configures an instance to use a common default routine database across all custom Namespaces. For instances that already have distinct default routine databases for their Namespaces, this would involve a step of merging over all code from the current default routine databases to the new "super" routine database. This should be done in such a way that only merges contents in the default routine database (not mapped databases) and is able to detect/exclude contents that already exist in the target database.

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