Quite a complex scenario we are trying to solve but should be able to understand.

We're developing a task executer that runs on a server with a certain timezone.

The tasks run every day at a defined time, but in different timezones.

We're saving in database at what time we want to execute the task, and in what timezone (don't go to the save in UTC pitfall, as with DST it will be at different times)

What I want to do if when opening a task from the database, convert 02:00 Europe/Madrid, either to UTC or to local (server) time.

Kong provides an open source configuration management tool (written in Go), called decK (which stands for declarative Kong)

Hello everybody!

I’m having some odd issues with IRIS for health community edition and creating a new namespace.

Hello,

We are working with a vendor who only accepts JSON as payload. We are currently still on Cache/HealthShare, not IRIS. Since we have to send Continuity of Care Documents, this raises issues with Long Strings (some CCDs can be quite large and in addition to that, they have to be b64-encoded which increases their size even more).

My question is: if we were to go on IRIS and use %JSON.Adapter, storing the encoded Stream in an object's Stream property, would calling %JSONExport() on this object produce the desired JSON? Or would we have to call %JSONExportToStream()?

With the latest improvements in support for Python in IRIS, and continued work on Python DB-API support by InterSystems. I've implemented IRIS support to the Django project where is Python DB-API is used to work with some other databases.

Let's try a simple application on Django, which stores its data in IRIS.

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.

Hi, I would like to tell you how easy it is to spin up IRIS for Health docker container in compute engine(VPS) in google cloud.

I know that to run IRIS for Health in AWS is pretty simple and straightforward, but I wanted to tried if its same easy in GCP environment.

Create vm instance. 2GB RAM is more than enough.

I used Debian 11 as Linux distro.

Standart persistent disk is cheaper.

Brief

What is Query

Query is a method for finding data that meets the conditions and presenting the results as a data set.

Propose sequence and logic in IRIS
* to convert HL7 V2 message to FHIR/CDA
* to convert JSON/XML to FHIR/CDA
* to convert HL7 SIU message to FHIR/CDA.

Hi

Is there any build in solution to convert HTML to PDF? if yes please how

Thank you

November 19, 2021 - Advisory: Apache Web Server provided with InterSystems kits – Vulnerability reports

This article is a continuation of this post.

In the previous article, we discussed the development of business processes, which are part of the components required for system integration and serve as a production coordinator.

I want to install a new FHIR server from the Management Portal using the below steps, but not able to find FHIR Configuration setting under my newly created foundation namespace.

Hello, I tried to convert HL7 message to JSON in a business process and I got errors. Has anybody converted HL7 to JSON? Are certain characters not allowed in JSON?

I just tried to set a property to quote request.RAWContent and quote. I will try to put example in GitHub and share here later.