In healthcare,interoperability is the ability of different information technology systems and software applications to communicate, exchange data, and use the information that has been exchanged.
One of the pain points for maintaining HL7 interfaces is the need to run a reliable regression test upon deployment to new environments and after upgrades. The %UnitTest class allows unit tests to be created and packaged alongside interface code. Test data can also be maintained within the unit test class, allowing for quick and easily repeatable smoke-testing and regression testing.
I am receiving the garbled text due to incorrect encoding or decoding. I tried to use the $zconvert function to convert it into the normal text but failed to do that. Can anybody suggest what I have to use to convert that into normal text?
Example: Garbled text that I am getting is "canââ¬â¢t , theyââ¬â¢re".
I would like to present my last package OpenAPI-Suite, this is a set of tools to generate ObjectScript code from an OpenAPI specification version 3.0. In short, these packages allow to:
Generate server-side class. It’s pretty similar to the generated code by ^%REST but the added value is the version 3.0 support.
Generate HTTP client classes.
Generate client production (business services, business operation, business process, Ens.Request, Ens.Response) classes.
A web interface to generate and download the code or generate and compile directly on the server.
Convert specification from version 1.x, 2.x to version 3.0.
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.
Been testing out the Production Validator toolkit, just to see what we can/not do with it. Seems really interesting and there seem to be some use cases for it that can really streamline some upgrades (or at least parts of upgrades) but I was running into so many hurdles with the documentation. I am curious if anyone else has used it.
As AI-driven automation becomes an essential part of modern information systems, integrating AI capabilities into existing platforms should be seamless and efficient. The IRIS Agent project showcases how generative AI can work effortlessly with InterSystems IRIS, leveraging its powerful interoperability framework—without the need to learn Python or build separate AI workflows from scratch.
The complex record mapper can help you process text file data consisting of various types of records to persistent messages in IRIS. To gain a basic understanding of the complex record mapper and see an example implemented in the production, check out the learning services video below:
We are receiving the report in text format and it has special characters like ', - like that in the text. Source system is using the UTF8 encoding format hence the text is showing as ' � ' . Is there a way to convert the utf8 to actual character in the DTL.
Once upon a time in Ensemble Management Portal the pool size of each component (Business Host) within the production was displayed in the Production Configuration page.
This information was very useful, especially when a production have tens or hundreds of components.
I'm looking for a practical project guide to help me gain hands-on experience with InterSystems Ensemble HL7. Ideally, this guide would walk through building a small project — something that covers key concepts like message routing, transformations, and interoperability.
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.
I'm proud to announce the new release of iris-pex-embedded-python (v2.3.1) with a new command line interface.
This command line is called iop for Interoperability On Python.
First I would like to present in few words the project the main changes since the version 1.
A breif history of the project
Version 1.0 was a proof of concept to show how the interoperability framework of IRIS can be used with a python first approach while remaining compatible with any existing ObjectScript code.
What does it mean? It means that any python developer can use the IRIS interoperability framework without any knowledge of ObjectScript.
Example :
from grongier.pex import BusinessOperation
class MyBusinessOperation(BusinessOperation):
def on_message(self, request):
self.log.info("Received request")
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.
High-Performance Message Searching in Health Connect
The Problem
Have you ever tried to do a search in Message Viewer on a busy interface and had the query time out? This can become quite a problem as the amount of data increases. For context, the instance of Health Connect I am working with does roughly 155 million Message Headers per day with 21 day message retention. To try and help with search performance, we extended the built-in SearchTable with commonly used fields in hopes that indexing these fields would result in faster query times. Despite this, we still couldn't get some of these queries to finish at all.
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.
TLS, the successor to SSL, stands for Transport Layer Security and provides security (i.e. encryption and authentication) over a TCP/IP connection. If you have ever noticed the "s" on "https" URLs, you have recognized an HTTP connection "secured" by SSL/TLS. In the past, only login/authorization pages on the web would use TLS, but in today's hostile internet environment, best practice indicates that we should secure all connections with TLS.
FHIR repositories, applications and servers typically serve clinical data in small quantities, whether to return data about a patient, their medications, vaccines, allergies, among other information. However, it is common for a large amount of data in FHIR/JSON format to be requested to be used to load into Data Lakes, identifying study cohorts, population health, or transferring data from one EHR to another. To meet these business scenarios that require large extractions and loads of data, it is recommended to use the FHIR Bulk Data Access feature provided by HL7 institution.
Dear community, we are building up a digital backbone for our 17 hospitals and looking for reinforcement within the team. Maybe this is something for you or someone you know?
The world of Generative AI has been pretty inescapable for a while, commercial models running on paid Cloud instances are everywhere. With your data stored securely on-prem in IRIS, it might seem daunting to start getting the benefit of experimentation with Large Language Models without having to navigate a minefield of Governance and rapidly evolving API documentation. If only there was a way to bring an LLM to IRIS, preferably in a very small code footprint....
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