Hey Community,

Click play and immerse yourself in our fresh video on InterSystems Developers YouTube:

Capturing High-Volume High-Frequency Clinical Data to Leverage in HealthShare Unified Care Record @ Global Summit 2023

https://www.youtube.com/embed/XIInGPGT5Y8
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InterSystems FAQ rubric

There is no need to recompile the routines after the version upgrade, but since the version update overwrites %SYS, user-created INT and OBJ format routines (*.INT,*.OBJ) in %SYS will be deleted. Therefore, you need to be careful.

MAC, INT and OBJ routines with the following names are not deleted.

%Z*.INT, %z*.INT, Z*.INT,z*.INT
%Z*.OBJ, %z*.OBJ, Z*.OBJ,z*.OBJ

Please note that classes/CSPs need to be compiled after upgrading.

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Hi Developers,

Enjoy watching the new video on InterSystems Developers YouTube:

Caelestinus 2023 – Final DEMO Day

https://www.youtube.com/embed/iw8w2BE61xY
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Hello everyone,

I'm currently conducting tests using the docker image intersystemsdc/irishealth-ml-community:latest. I'm accessing the Linux terminal and attempting to utilize the superuser functions, but I'm encountering an issue with the password. Could someone assist me, please?



Best Regards,
Flávio

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InterSystems FAQ rubric

If multiple InterSystems products are installed on the same system, the latest version of the InterSystems ODBC driver among the installed products will remain registered in the driver manager.

You can change to any driver by changing the registry entry below.

Please note that running RegFiles.bat does not change the ODBC driver.

The registry entry is as follows.

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Hello Community,.

I've updated the IRIS community form 2023.2 to 2023.3 and I didn't see the User defined(Sample) error messages in ^IRIS.Msg global even I verified in both pointer and data level. I re run the set x=##class(%MessageDictionary).Import("error.xml") After import I could see the pointers and data in ^IRIS.Msg

Is the User defined error will reset from the server after IRIS upgrade?

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Hi folks!

Recently I was in need to setup a local FHIR server using IRIS For Health and I think I found the easiest and simplest way ever.

Just run in terminal these two lines below :

docker run --rm --name my-iris -d --publish 9091:1972 --publish 9092:52773 intersystemsdc/irishealth-community

and

docker exec -it my-iris iris session iris -U "USER" '##class(%ZPM.PackageManager).Shell("install fhir-server")'

And you'll have FHIR server running locally at http://localhost:9092/fhir/r4.

That's it!

The FHIR server will use the latest build of InterSystems IRIS for Health Community Edition and will deploy FHIR server from this app via IPM package in FHIRSERVER namespace.

This is for Mac, so please add in comments how it works in Windows.

This is a very short article as it is really easy to setup a local FHIR server with InterSystems IRIS for Health and IPM Package Manager.

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We have solution which uses IRIS with IAM and webgateway integrated.

After integration, we notice that in the kong configuration in the kongdb upstreams are not created as listed in the kong.yml

We noticed that, IAM api calls are failing with enterprise license expired.

[kong@iam-deployment-75f485954c-ssdfv /]$ curl --location --request POST 'http://localhost:8001/services/'
{"message":"Enterprise license missing or expired"}

From Logs:

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Hello Community,

Is there any way to avoid generating the built in validation inside the classmethod from the .disp class definition. I've added the resource with path parameter as integer in swagger 2.0 open API. The class method(in my case getRandom is the class method) inside .disp handles the integer validation by default. Is there a way to avoid/remove by default.

default validations for Integer

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image

This article will cover turning over control of provisioning the InterSystems Kubernetes Operator, and starting your journey managing your own "Cloud" of InterSystems Solutions through Git Ops practices. This deployment pattern is also the fulfillment path for the PID^TOO||| FHIR Breathing Identity Resolution Engine.

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Hi community,

I´ve setup a local FHIR server via the framework functionality und set a service config name for the created endpoint since I plan to use a production based FHIR server. I´ve created an additional ressource "FhirClientRessource" and role "FhirClientRole" as well as a user named "FhirClient". The Role resource "FhirClientRessource" ist set as "required resource" in the FHIR server configuration page. The user "FhirClient" is member of the Role "FhirClientRole" which in turn holds RWU priveliges on the "FhirClientRessources".

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I'm receiving a JSON payload via a REST API, I'd like to %JSONImport this stream into a class which extends %JSON.Adaptor. The problem is that the JSON is an array whose elements have no key (as you can see in the example JSON below). Right now I'm having to do some manipulations to convert the stream into a dynamic object and do a %Set which inserts a made up key "record" so "thingone" and "thingtwo" have an associated key that I can use when referencing "thingone" and "thingtwo"...such as record.GetAt(1).thingone

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In part I of this article, we have already learned more about HL7, its messages, structure, segments, and fields. In this part II, we will show you how to transform proprietary/custom data into HL7 using IRIS for Health. For our sample, we used the data generated by the SYNTHEA bulk data generation project (https://synthea.mitre.org/downloads). So, we will show you how to convert 1000 patients from a CSV file to HL7 v2, using the Interoperability features of IRIS for Health.

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EHR (Electronic Health Record) systems are designed in a proprietary format/structure and are not based on such market models as FHIR or HL7. Whereas some of those systems can interoperate data in a proprietary format for FHIR and further market models, others cannot. InterSystems has two platforms that can interoperate proprietary formats for market standards: InterSystems HealthShare Connect and InterSystems IRIS for Health.

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Article
· Nov 20, 2023 3m read
Parquet files and InterSystems IRIS

In the world of Big Data, selecting the right file format is crucial for efficient data storage, processing, and analysis. With the massive amount of data generated every day, choosing the appropriate format can greatly impact the speed, cost, and accuracy of data processing tasks. There are several file formats available, each with its own set of advantages and disadvantages, making the decision of which one to use complex. Some of the popular Big Data file formats include CSV, JSON, Avro, ORC, and Parquet.

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