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:

Hi!

I'm trying to set up a Clinical Viewer demo env with HealthShare 2024.2.
I've done the standard installation following the doc :

InterSystems FAQ rubric

The location of the currently executing code can be obtained using the $STACK function: $STACK($STACK,"PLACE").

Please refer to the following document for sample code.

I have below method , which receives a PDF ; this method throws error for a PDF file of 3MB size

<MAXSTRING>zBase64Encode+9 -- logged as '-' number - @' set encodedData = $system.Encryption.Base64Encode(content)'

How do I fix this.

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I'm trying to use embedded python code that receives an Iris %Stream.GlobalBinary and uses image manipulation library PIL.

Because PIL can't work with IRIS %Stream, I need to convert the image to python bytes.

This process seems to have very bad performance compared to writing to a file and then loading it from a file in python.

Is there a better way to send a stream into python? The conversion code I'm using is below.

Thanks.

HTTP and HTTPS with REST API

Hello

The HTTP protocol allows you to obtain resources, such as HTML documents. It is the basis of any data exchange on the Web and a client-server protocol, meaning that requests are initiated by the recipient, usually a Web browser.

REST APIs take advantage of this protocol to exchange messages between client and server. This makes REST APIs fast, lightweight, and flexible. REST APIs use the HTTP verbs GET, POST, PUT, DELETE, and others to indicate the actions they want to perform.

When we make a call to a RESt API, what actually happens is an HTTP call. The API receives this call and according to the requested verb and path, the API performs the desired action. In the case of the Iris implementation we can see this clearly in the URLMap definition area:

Having been inspired with Shared code execution speed question/discussion, I dare to ask another one which is annoying me and my colleagues for several weeks.

We have a routine called Lib that comprises 200 $$-functions of 1500 code lines total. It was noticed that after calling _any_ function of another rather big routine (1900 functions, 32000 lines) the next call of $$someFunction^Lib(x) is getting 10-20% slower than previous call of the same function. This effect doesn't depend on:

Just curious what the process is for debugging either a .py file that is uploaded to a specific namespace/location or a python classmethod defined in a .cls file.

My method can be run via the "Debug" breadcrumb but it doesnt hit breakpoints it just runs without a debugger. Also objectscript methods debug correctly

InterSystems OMOP, The Cloud Service (Troy)

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The task is to find all globals that are referenced in certain routines. I could search for ^ using class(%Studio.Project).FindInFiles but that would also find ^ in comments and function calls. I can distinguish between a global and a function call visually, but it would be lovely to be able to skip function calls programmatically. Is it possible?

Hi everybody,

I'm modifying a REST interface for a client but it seems impossible to me to modify HTTP Response Status and including custom HTTP Headers either.

My dispatch class (extending %CSP.REST) is contacted through a POST request and the latter is processed in a custom class (extending %CSP.REST as well) accessed as shown in the example below:

<Route Url="/test" Method="POST" Call="Custom.Test:Process" />

Within the processing class I tried executing the following statements with no success:

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Introduction

Database performance has become a critical success factor in a modern application environment. Therefore identifying and optimizing the most resource-intensive SQL queries is essential for guaranteeing a smooth user experience and maintaining application stability.

This article will explore a quick approach to analyzing SQL query execution statistics on an InterSystems IRIS instance to identify areas for optimization within a macro-application.

Rather than focusing on real-time monitoring, we will set up a system that collects and analyzes statistics pre-calculated by IRIS once an hour. This approach, while not enabling instantaneous monitoring, offers an excellent compromise between the wealth of data available and the simplicity of implementation.

We will use Grafana for data visualization and analysis, InfluxDB for time series storage, and Telegraf for metrics collection. These tools, recognized for their power and flexibility, will allow us to obtain a clear and exploitable view.

More specifically, we will detail the configuration of Telegraf to retrieve statistics. We will also set up the integration with InfluxDB for data storage and analysis, and create customized dashboards in Grafana. This will help us quickly identify queries requiring special attention.

To facilitate the orchestration and deployment of these various components, we will employ Docker.