The InterSystems IRIS has an integration engine with these core elements:

1. Adapters: are inbound (data/message input/request) and outbound (data/message output/response) integration logic specialized in the type of data or message protocol (file, http, etc.). They are the interface to allows connect with source or target data repositories or systems.

2. DTL: is a component to mapping and transform data between two components in the flow orchestration.

In the WRC, we often see customers who have encountered a problem viewing their SOAP Catalog pages in a browser. This article will explain why the error is being encountered, as well as suggest a fix. This explanation is focused on the symptoms seen in InterSystems IRIS, but similar behavior can be seen in more recent versions of Caché.

It seems to me that for some reason this didn't make its way to the official documentation
and seems to be rather unknown though implemented already in IRIS 2020.1

Thanks to @Dan Pasco I got a hint on the classes involved.
I used the recommended sequence of how to use it.
it is all directly taken from Class Reference and I just collected it to create a first overview.

You might have encountered this and not known how to prevent it, or perhaps not even noticed it...

Error management on InterSystems languages has been evolving along time. Next, we will show the different implementations and why you should use the TRY/THROW/CATCH mechanism.

You can read official error recommendations here.

The fhir-react project defines a unique component which renders the interface based on FHIR resource type. There's no need for any configuration because the library uses the standard of defined by the resource type.

So, I decided to apply the same idea, but for charts. The basic idea is depicted below:

As I said in the previous article, I started to learn about FHIR for the contest, and I'd like to share an update in my application: detection of inconsistencies in FHIR data.

Note: This document it's also availble in GitHub.

Whats NLP Stands For?

NLP stands for Natural Language Processing which is a field of Artificial Intelligence with a lot of complexity and
techniques to in short words "understand what are you talking about".

And FHIR is...???

FHIR stands for Fast Healthcare Interoperability Resources and is a standard to data structures for healthcare. There are
some good articles here explainig better how FHIR interact with Intersystems IRIS.

Hi Community,

I shared my experience working with FHIR for the first time in this article.

In that article, I wrote how I explored the FHIR Resources and talked about the information that I found useful in FHIR documentation.

The first version of my app only shows the information that FHIR Resource provides.

I wanted to make the user able to update the patient details, so I to search for an example of how to do it.

Hi guys.

Recently, I get interest in FHIR in order to run for the IRIS for Health FHIR
contest. As a beginner on this topic, I've heard somewhat about it, but I didn't know how complex and powerful was FHIR. As pointed out by @Henrique.GonçalvesDias here, you can model several aspects of the patient history and other related entities.

Some clients ask me about migrate from Cache to IRIS. Why migrate to IRIS? Cache is excellent, stable, has good performance. These clients are right, but in the last years, the digital transformation imposed more complete solutions for the new requirements and InterSystems was a visionary to perceive it and launch IRIS.
It is a data platform ready to this digital transformation challenge. To show this, I created a Value Canvas.

Asymmetric cryptography is a cryptographic system that uses pairs of keys: public keys which may be disseminated widely, and private keys which are known only to the owner. The generation of such keys depends on cryptographic algorithms based on mathematical problems to produce one-way functions. Effective security only requires keeping the private key private; the public key can be openly distributed without compromising security.

In such a system, any person can encrypt a message using the receiver's public key, but that encrypted message can only be decrypted with the receiver's private key.

Robust authentication is also possible. A sender can combine a message with a private key to create a short digital signature on the message. Anyone with the sender's corresponding public key can combine the same message and the supposed digital signature associated with it to verify whether the signature was valid, i.e. made by the owner of the corresponding private key. (C) Wikipedia.

The InterSystems IRIS offer many options to deploy digital services running in IRIS. Your option will depends if you use IaC (my preferred option) or no.

If you use IaC, the options are:

This is the third post of a series explaining how to create an end-to-end Machine Learning system.

Training a Machine Learning Model

When you work with machine learning is common to hear this work: training. Do you what training mean in a ML Pipeline?
Training could mean all the development process of a machine learning model OR the specific point in all development process
that uses training data and results in a machine learning model.