Hi,
Our production FHIR server is populated by several processes from several sources,
some of those sources send test data or wrong data (by mistake or as part of an integration test),
the data is consumed by our BI every 15 minutes.
when I mark a resource as test (using meta security) BI knows to update it on their system.
everything is fine up to here (except that there is test data in Prod)
my problem is that if someone send the same patient again it will recreate the patient without the security tag.
any thoughts?

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InterSystems API Manager (IAM) is a core component of the InterSystems IRIS Data Platform, offering centralized API management with a strong emphasis on security. IAM simplifies the entire API lifecycle, from creation to retirement, and provides a developer portal for easy API discovery and integration. Access control features allow administrators to define precise permissions, and IAM seamlessly integrates with the IRIS Data Platform, enhancing data management and integration capabilities.

Features of IAM include:

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You send an HTTP request and get back an HTTP error but with an HTML error page which you didn't expect... what's happening?... 🤔

Specifically for example, perhaps you tried to READ a FHIR Resource (e.g. /Patient/123) and you get back a 404 error page, even though with other Patient IDs, you get back the Resource payload, so "the page" definitely does exist... why should you be getting a 404 error page? 🙄

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An extension “extends” or enhances a FHIR resource or a data element in a custom way. The extension can be added to the root of a resource, such as “Patient.ethnicity” in US Core profile, and they can be added to individual elements such as HumanName, Address or Identifier.

Did you know that you can also add an extension to a primitive data type?

Primitives usually store a single item and are the most basic element in FHIR. For example: "Keren", false, 1234, 12/08/2024 etc.

For example, the patient resources might look like this:

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Overview

Fast Healthcare Interoperability Resources (FHIR) is a standardized framework developed by HL7 International to facilitate the exchange of healthcare data in a flexible, developer-friendly, and modern way. It leverages contemporary web technologies to ensure seamless integration and communication across healthcare systems.

Key FHIR Technologies

  • RESTful APIs for resource interaction
  • JSON and XML for data representation
  • OAuth2 for secure authorization and authentication

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Vibe the Module, Not the Data


While working with the FHIR to OMOP Service, I've seen good FHIR synthetic data being created using commercial LLM's etc, custom tailored for ConditionOnset with the typical amazement on return, but witnessed some questionable trust first hand on a call. This approach also falls short generating gigantic payloads so I can go back to my interests on the backend and ensure smooth data transition.

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Hi,

I'm using the iris for health community edition and I cannot seem to get the FHIR server configuration UI to show up. I was able to create a FHIR server programaticlly but none of the user interface features that the installation guide talks about are available. Once I was created the server I was able to see a Bulk FHIR Coordinator in the management portal, ut that's it. Are the UI features not available in the community edition or do they need to be enabled somehow?

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I have a quite complex FHIR Implementation Guide (IG) which is based on several other FHIR IGs. It's likely the versions of IGs conflict with each other.

From what I understand, I would need to load in all the other FHIR IG's first?

I don't actually need FHIR profiles to be in our FHIR Repository - I'm just after terminology and the examples for our test system.

Is it possible to load a FHIR IG just as data? (I think I mean here, ignore the FHIR profiles and dependencies between them)

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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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Hi all,

Let's do some more work about the testing data generation and export the result by REST API.😁

Here, I would like to reuse the datagen.restservice class which built in the pervious article Writing a REST api service for exporting the generated patient data in .csv

This time, we are planning to generate a FHIR bundle include multiple resources for testing the FHIR repository.

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Question
· Oct 24
FHIR in IRIS 4 health

Hi,

We have some concerns on how to implement FHIR, do we do facade?, how do we get resources?, what is a resource?, is a resource "Patient" or an instance of a patient?, How can we have a FHIR repository AND send the patient details to healthshare MPI?

Has anyone correctly created a FHIR server that has custom methods?, handles "normal" methods and forwards onto Healthshare MPI , processing the response and creates a accurate FHIR response back to the calling system.

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The 2025.1.2 and 2024.1.5 maintenance releases of InterSystems IRIS® data platform, InterSystems IRIS® for HealthTM, and HealthShare® Health Connect are now Generally Available (GA). These releases include the fixes for a number of recently issued alerts and advisories, including the following:

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Introduction

In my previous article, I introduced the FHIR Data Explorer, a proof-of-concept application that connects InterSystems IRIS, Python, and Ollama to enable semantic search and visualization over healthcare data in FHIR format, a project currently participating in the InterSystems External Language Contest.

In this follow-up, we’ll see how I integrated Ollama for generating patient history summaries directly from structured FHIR data stored in IRIS, using lightweight local language models (LLMs) such as Llama 3.2:1B or Gemma 2:2B.

The goal was to build a completely local AI pipeline that can extract, format, and narrate patient histories while keeping data private and under full control.

All patient data used in this demo comes from FHIR bundles, which were parsed and loaded into IRIS via the IRIStool module. This approach makes it straightforward to query, transform, and vectorize healthcare data using familiar pandas operations in Python. If you’re curious about how I built this integration, check out my previous article Building a FHIR Vector Repository with InterSystems IRIS and Python through the IRIStool module.

Both IRIStool and FHIR Data Explorer are available on the InterSystems Open Exchange — and part of my contest submissions. If you find them useful, please consider voting for them!

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Introduction

In a previous article, I presented the IRIStool module, which seamlessly integrates the pandas Python library with the IRIS database. Now, I'm explaining how we can use IRIStool to leverage InterSystems IRIS as a foundation for intelligent, semantic search over healthcare data in FHIR format.

This article covers what I did to create the database for another of my projects, the FHIR Data Explorer. Both projects are candidates in the current InterSystems contest, so please vote for them if you find them useful.

You can find them at the Open Exchange:

In this article we'll cover:

  • Connecting to InterSystems IRIS database through Python
  • Creating a FHIR-ready database schema
  • Importing FHIR data with vector embeddings for semantic search

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Hey Community,

The InterSystems team put on our monthly Developer Meetup with a triumphant return to CIC's Venture Café, the crowd including both new and familiar faces. Despite the shakeup in both location and topic, we had a full house of folks ready to listen, learn, and have discussions about health tech innovation!

https://www.youtube.com/embed/-ER8dW6ZtQw
[This is an embedded link, but you cannot view embedded content directly on the site because you have declined the cookies necessary to access it. To view embedded content, you would need to accept all cookies in your Cookies Settings]

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Welcome, dear members of the Community!

In this article, we will present an example of a project implementing a FHIR-based solution. This project will be based on the national project (Spanish national project), known as ÚNICAS.

What is ÚNICAS?

In his own words:

A project whose objective is to create an ecosystem of partnerships to improve healthcare for pediatric patients with complex rare diseases (RMDs). This project is being implemented through the network within the National Health System (NHS) to improve the diagnosis and care of patients with rare diseases.

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