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#InterSystems IRIS for Health

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InterSystems IRIS for Health™ is the world’s first and only data platform engineered specifically for the rapid development of healthcare applications to manage the world’s most critical data. It includes powerful out-of-the-box features: transaction processing and analytics, an extensible healthcare data model, FHIR-based solution development, support for healthcare interoperability standards, and more. All enabling developers to realize value and build breakthrough applications, fast. Learn more.

When we create a FHIR repository in IRIS, we have an endpoint to access information, create new resources, etc. But there are some resources in FHIR that probably we wont have in our repository, for example, Binary resource (this resource returns a document, like PDF for example).

I have created an example that when a Binary resource is requested, FHIR endpoint returns a response, like it exists in the repository.

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InterSystems Official
· Mar 27 4m read
2025.1 Modernizing Interoperability User Experience

The Interoperability user interface now includes modernized user experiences for the DTL Editor and Production Configuration applications that are available for opt-in in all interoperability products. You can switch between the modernized and standard views. All other Interoperability screens remain in the Standard user interface. Please note that changes are limited to these two applications and we identify below the functionality that is currently available.

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Updated 02/27/25

Hi Community,

Looking for a way to onboard your team with InterSystems IRIS® for Health? Unlock the full potential of this platform by using these InterSystems learning resources. With a mix of online and in-person training, you can support various roles in your organization and equip your team for success.

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With the introduction of vector data types and the Vector Search functionality in IRIS, a whole world of possibilities opens up for the development of applications and an example of these applications is the one that I recently saw published in a public contest by the Ministry of Health from Valencia in which they requested a tool to assist in ICD-10 coding using AI models.

How could we implement an application similar to the one requested? Let's see what we would need:

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Article
· Aug 19, 2024 4m read
Accessing Azure Blob Storage

Accessing an Azure cloud storage to upload/download blobs is quite easy using the designated %Net.Cloud.Storage.Client class API methods, or using the EnsLib.CloudStorage.* inbound/outbound adaptors.

Note that you'll need to have the %JavaServer External Language Server up and running to use the cloud storage API or adaptors, since they both use the PEX framework using the Java Server.

Here is a quick summary:

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Over the past couple of months, I have been working on the SMART on FHIR EHR Launch to test the capabilities of IRIS for Health using two open-source apps from CSIRO: SMART-EHR-Launcher and SMART Forms App. This journey has been incredibly interesting, and I’m truly grateful for the opportunity to work on this task and explore more of IRIS for Health’s potential.

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Who hasn't been developing a beautiful example using a Docker IRIS image and had the image generation process fail in the Dockerfile because the license under which the image was created doesn't contain certain privileges?

In my case, what I was deploying in Docker is a small application that uses the Vector data type. With the Community version, this isn't a problem because it already includes Vector Search and vector storage. However, when I changed the IRIS image to a conventional IRIS (the latest-cd), I found that when I built the image, including the classes it had generated, it returned this error:

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My main goal of this article was to prove the use of InterSystems IRIS for Health for REST FHIR interoperability between multiple applications. In this use case, some initiating application makes a REST call to IRIS for Health (which is merely a passthrough for REST calls) to retrieve FHIR data from an Oracle Health R4 FHIR repository. Ideally, it simplifies the syntax for calling the Oracle Health APIs.

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The Istio Service Mesh is commonly used to monitor communication between services in applications. The "battle-tested" sidecar mode is its most common implementation. It will add a sidecar container to each pod you have in your namespace that has Istio sidecar injection enabled.

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InterSystems Official
· May 21
InterSystems Platforms Update Q2-2025

We have a big update this quarter.

  • RHEL 10 was released yesterday, read on for what that means for you
  • 2025.3 will use OpenSSL 3 across all operating systems SUSE 15 sp6 will be the minimum OS for orgs using SUSE
  • The minimum CPU standards are going up in 2025.3
  • Older Windows Server operating systems will no longer be supported in 2025.3

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InterSystems Official
· Dec 17, 2024
IPM 0.9.0 Released

We have released IPM 0.9.0. I previously remarked on some of the history and reasoning here; to summarize, this is a big release for two reasons: it represents a long-overdue reunification of our internal and community-driven work around IRIS-centric ObjectScript package management, and it has some backwards incompatibilities. There are several necessary backwards incompatibilities in our roadmap, and we've lumped them together; this will not be some new norm.

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Article
· Mar 10 5m read
FHIR SQL Builder: step by step

The FHIR standard establishes a powerful but flexible data model that can smoothly adapt to the complexities of operational healthcare data management. This flexibility comes at the cost of a data model with many tables and relationships, even for simple data such as the patient's record of telephone numbers, addresses, and emails. It would easily require querying 4 different tables. However, FHIR SQL Builder eliminates this problem, allowing you to create visual projections (mappings) in web wizards.

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Using embedded Python while building your InterSystems-based solution can add very powerful and deep capabilities to your toolbox.

I'd like to share one sample use-case I encountered - enabling a CDC (Change Data Capture) for a mongoDB Collection - capturing those changes, digesting them through an Interoperability flow, and eventually updating an EMR via a REST API.

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Based on a great sample and workshop built by @Luis Angel Pérez Ramos (see related articles and related Open Exchange app), which included a local InterSystems IRIS for Health container (and desired setup), this sample presented here, adapted the workshop for using the InterSystems Cloud FHIR Server, and it's related setup.

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Hi colleagues!

Often, while developing a frontend app or any other communication vs REST API, it is worth having a Swagger UI - a test UI for the REST API that follows Open API 2.0 spec. Usually, it is quite a handful as it lets have quick manual tests vs REST API and its responses and the data inside.

Recently I've introduced the Swagger support to the InterSystems IRIS FHIR template for FHIR R4 API:

How to get it working.

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In 2023, according to IDC, Salesforce's market share in CRM reached 21.7%. This company owns a substantial amount of critical corporate business processes and data, so the InterSystems IRIS must have an interoperability connector to fetch data from the Salesforce data catalog. This article will show you how to get any data hosted by Salesforce and create an interoperation production to get data and send it to such targets as files and relational databases.

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What is JWT?

JWT (JSON Web Token) is an open standard (RFC 7519) that offers a lightweight, compact, and self-contained method for securely transmitting information between two parties. It is commonly used in web applications for authentication, authorization, and information exchange.

A JWT is typically composed of three parts:

1. JOSE (JSON Object Signing and Encryption) Header
2. Payload
3. Signature

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Introduction

In InterSystems IRIS 2024.3 and subsequent IRIS versions, the AutoML component is now delivered as a separate Python package that is installed after installation. Unfortunately, some recent versions of Python packages that AutoML relies on have introduced incompatibilities, and can cause failures when training models (TRAIN MODEL statement). If you see an error mentioning "TypeError" and the keyword argument "fit_params" or "sklearn_tags", read on for a quick fix.

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We've recently made available a new version of InterSystems IRIS in the Vector Search Early Access Program, featuring a new Approximate Nearest Neighbor index based upon the Hierarchical Navigable Small World (HNSW) indexing algorithm.

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