A simple production that enables FHIR transaction bundles to be loaded into InterSystems® FHIR® Server via Box and Dropbox. Using the included MFT Connection Components and a 14 liner Custom Business Process, this production will process your transaction bundles to FHIR Resources for immediate consumption with Harry Potter like wizardry. Great for Hackathons, Research and FHIR® Cocktail parties.

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Problem

In a fast-paced clinical environment, where quick decision-making is crucial, the lack of streamlined document storage and access systems poses several obstacles. While storage solutions for documents exist (e.g, FHIR), accessing and effectively searching for specific patient data within those documents meaningfully can be a significant challenge.

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In this article, I will show how you can easily containerize .Net/Java Gateways.

For our example, we will develop an Integration with Apache Kafka.

And to interoperate with Java/.Net code we will use PEX .

Architecture

Our solution will run completely in docker and look like this:

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Introduction

InterSystems has recently completed a performance and scalability benchmark of IRIS for Health 2020.1, focusing on HL7 version 2 interoperability. This article describes the observed throughput for various workloads, and also provides general configuration and sizing guidelines for systems where IRIS for Health is used as an interoperability engine for HL7v2 messaging.

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I am demonstrating a use case of how we can create an IRIS Interoperability Production for special use in an external language. InterSystems IRIS, within Interoperability has a framework called Production Extension (PEX), using which we can create productions and program them as per their purpose using external languages like Java, Python etc, and also develop custom inbound and outbound adapters to communicate with other applications.

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Article
· May 25, 2017 2m read
The Interns are Coming!

The Data Platforms department here at InterSystems is gearing up for this year's crop of interns, and I for one am very excited to meet them all next week!

We've got folks from top technical colleges with diverse specialties from hard core engineers to pure computer scientists to mathematicians to business professionals. They come from countries around the world like Vietnam, China, and Finland and they all come with impressive backgrounds. We're sure they will do very well this summer.

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In response to a community question asking to view Request and Response message types in Production settings..

A community helper class was implemented should people need this. ( alwo.EnsHelper.HostRequestResponseInfo )

Install

zpm install alwo-enshelper

The code may serve as an example, to project bespoke configuration into Production settings.

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Hi Community!

Just want to share with you an exercise I made to create "my own" chat with GPT in Telegram.

It became possible because of two components on Open Exchange: Telegram Adapter by @Nikolay Solovyev and IRIS Open-AI by @Kurro Lopez

So with this example you can setup your own chat with ChatGPT in Telegram.

Let's see how to make it work!

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1. Blockchain

As I am writing this article, Bitcoin costs less than one-fifth of what it used to be at the pinnacle of its success. So when I start telling someone about my blockchain experience, the first thing I hear is undisguised skepticism: "who needs this blockchain stuff now anyway?"

That's right, the blockchain hype has waned. However, the technologies it is based on are here to stay and will continue being used in particular areas.The Internet in general offer tons of materials describing the general usage of these technologies

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Hi Developers!

As you know InterSystems IRIS Interoperability solutions contain different elements of the solution, such as: production, business rule, business process, data transformation, record mapper. And sometimes we can create and modify these elements with UI tools. And of course we need a handy and robust way to source-control the changes made with UI tools.

For a long time this was a manual (export class, element, global, etc) or cumbersome settings procedure, so the saved time with source-control UI automation was competing with lost time to setup and maintain the settings.

Now the problem doesn't exist any more. With two approaches: package first development and usage of IPM package git-source-control by @Timothy Leavitt
.

Meme Creator - Funny WOW IT REALLY WORKS Meme Generator at MemeCreator.org!

The details are below!

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Hi developers!

Maybe you have to implement scenarios that don't require a FHIR repository, but forwarding FHIR requests, manage the responses and maybe run transformations or extract some values in between. Here you will find some examples that can be implemented using InterSystems IRIS For Health o HealthShare Health Connect.

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Article
· Feb 28, 2023 2m read
DataPipe: a data ingestion framework

Hi all!

I'm sharing a tool for data ingestion that we have used in some projects.

DataPipe is an interoperability framework for data ingestion in InterSystems IRIS in a flexible way. It allows you to receive data from external sources, normalize and validate the information and finally perform whatever operation you need with your data.

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Welcome to the next chapter of my CI/CD series, where we discuss possible approaches toward software development with InterSystems technologies and GitLab.
Today, we continue talking about Interoperability, specifically monitoring your Interoperability deployments. If you haven't yet, set up Alerting for all your Interoperability productions to get alerts about errors and production state in general.

Inactivity Timeout is a setting common to all Interoperability Business Hosts. A business host has an Inactive status after it has not received any messages within the number of seconds specified by the Inactivity Timeout field. The production Monitor Service periodically reviews the status of business services and business operations within the production and marks the item as Inactive if it has not done anything within the Inactivity Timeout period.
The default value is 0 (zero). If this setting is 0, the business host will never be marked Inactive, no matter how long it stands idle.

This is an extremely useful setting since it generates alerts, which, together with configured alerting, allows for real-time notifications about production issues. Business Host being idle means there might be some issues with production, integrations, or network connectivity worth looking into.
However, Business Host can have only one constant Inactivity Timeout setting, which might generate unnecessary alerts during known periods of low traffic: nights, weekends, holidays, etc.
In this article, I will outline several approaches towards dynamic Inactivity Timeout implementation. While I do provide a working example (currently running in production for one of our customers), this article is more of a guideline for building your own dynamic Inactivity Timeout implementation, so don't consider the proposed solution as the only alternative.

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InterSystems IRIS for Health ENSDEMO

Yet another basic setup of ENSDEMO content into InterSystems IRIS for Health.

Make sure you have Docker up and running before starting.

Setup

Clone the repository to your desired directory

git clone https://github.com/OneLastTry/irishealth-ensdemo.git

Once the repository is cloned, execute:

Always make sure you are inside the main directory to execute docker-compose commands.

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Recently I needed to restore a version of a production class, which was overwritten by compilation and running UpdateProduction. As the correct version was unavailable in the source control, I used journals to restore the data. Journals store a plethora of information about what's happening in the system and are quite a powerful tool. This article explains how to work with journals to extract the data you require.

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Dynamic PoolSize (DPS) Experiment

Purpose:

Enhance Ensemble or IRIS production so it can dynamically allocate pool size for adapter-based components based on their utilization.

Sometimes, an unexpected traffic volume occurs, and default pool size allocated to production components may become a bottleneck. To avoid such situations, I created a demonstrator project some 2 years ago to see, whether it would be possible and feasible to modify production, so it allowed for dynamically modifying its components per their load.

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