The following steps show you how to display a sample list of metrics available from the /api/monitor service.

In the last post, I gave an overview of the service that exposes IRIS metrics in Prometheus format. The post shows how to set up and run IRIS preview release 2019.4 in a container and then list the metrics.

This post assumes you have Docker installed. If not, go and do that now for your platform :)

How would you like to be able to access the Web Terminal directly from your VSCode?

This is more for my memory that anything else but I thought I'd share it because it often comes up in comments, but is not in the InterSystems documentation. 

There is a wonderful utility called ^REDEBUG that increases the level of logging going into mgr\cconsole.log. 

You activate it by

a) start terminal/login

b) zn "%SYS"

c) do ^REDEBUG

Over the last couple of weeks the Solution Architecture team has been working to finish off our 2019 workload: this included open-sourcing the Readmission Demo that was brought to HIMSS last year, so we could make it available to anyone looking for an interactive-way of exploring the tooling provided by IRIS.

Introduction

In the first article, a simple tutorial helped you to set up your FHIRaaS deployment.

Now, let's move forward and introduce a JS library to access the FHIR resource.

In the end, two examples of usage of this library will be presented, exploring the Appointment FHIR resource type.

SMART on FHIR JavaScript Library

FHIR is a REST API, so you can use any HTTP client in order to use it. But, it’s always a good idea to have help.

Hello, developers!

In this series, I will not show you how to use IRIS for Health, but rather how to use SUSHI, a tool for creating FHIR profiles, as an associated technology.

With the right tools, the profile information (specifications, limitations, extensions, etc.) of a FHIR project can be well organized and published.

Before we begin, what is SUSHI? I will briefly explain it.

While reviewing our documentation for our ^pButtons (in IRIS renamed as ^SystemPerformance) performance monitoring utility, a customer told me: "I understand all of this, but I wish it could be simpler… easier to define profiles, manage them etc.".

After this session I thought it would be a nice exercise to try and provide some easier human interface for this.

The first step in this was to wrap a class-based API to the existing pButtons routine.

I was also able to add some more "features" like showing what profiles are currently running, their time remaining to run, previously running processes and more.

The next step was to add on top of this API, a REST API class.

With this artifact (a pButtons REST API) in hand, one can go ahead and build a modern UI on top of that.

For example -

Hi Community,

This post is a introduction of my openexchange iris-python-apps application. Build by using Embedded Python and Python Flask Web Framework. 
Application also demonstrates some of the Python functionalities like Data Science, Data Plotting, Data Visualization and QR Code generation.

 Features

•  Responsive bootstrap IRIS Dashboard

•  View dashboard details along with interoperability events log and messages.

•  Use of Python plotting from IRIS

•  Use of Jupyter Notebook

•  Introduction to Data Science, Data Plotting and Data Visualization.

•  QR Code generator from python.

Loading your IRIS Data to your Google Cloud Big Query Data Warehouse and keeping it current can be a hassle with bulky Commercial Third Party Off The Shelf ETL platforms, but made dead simple using the iris2bq utility.

Let's say IRIS is contributing to workload for a Hospital system, routing DICOM images, ingesting HL7 messages,  posting FHIR resources, or pushing CCDA's to next provider in a transition of care.  Natively, IRIS persists these objects in various stages of the pipeline via the nature of the business processes and anything you included along the way.  Lets send that up to Google Big Query to augment and compliment the rest of our Data Warehouse data and ETL (Extract Transform Load) or ELT (Extract Load Transform) to our hearts desire.

A reference architecture diagram may be worth a thousand words, but 3 bullet points may work out a little bit better:

• It exports the data from IRIS into DataFrames
• It saves them into GCS as .avro to keep the schema along the data: this will avoid to specify/create the BigQuery table schema beforehands.
• It starts BigQuery jobs to import those .avro into the respective BigQuery tables you specify.

Hello, developers!

In this article, I will show you how to configure FHIR repository + OAuth2 authorization server/resource server on IRIS for Health following the previous article.

In Part 1, we introduced the preliminary preparations, configuring the OAuth2 authorization server, and obtaining the access token.
Part 2 will show you how to build an FHIR repository and configure an OAuth2 client/resource server.

When you first start working with InterSystems IRIS, it’s a common practice to install a system with only a minimum level of security. You have to enter passwords fewer times and this makes it easier to work with development services and web applications when you're first getting acquainted. And, sometimes, minimal security is more convenient for deploying a developed project or solution.
And yet there comes a moment when you need to move your project out of development, into an Internet environment that’s very likely hostile, and it needs to be tested with the maximum security settings (that is, completely locked down) before being deployed to production. And that’s what we’ll discuss in this article.
For more complete coverage of DBMS security issues in InterSystems Caché, Ensemble, and IRIS, you may want to read my other article, Recommendations on installing the InterSystems Caché DBMS for a production environment.
The security system in InterSystems IRIS is based on the concept of applying different security settings for different categories: users, roles, services, resources, privileges, and applications.

Users can be assigned roles. Users and roles can have privileges on resources — databases, services, and applications — with varying read, write, and use rights. Users and roles can also have SQL privileges on the SQL tables located in databases.

PHP, from the beginning of its time, is renowned (and criticized) for supporting integration with a lot of libraries, as well as with almost all the DB existing on the market. However, for some mysterious reasons, it did not support hierarchical databases on the globals.

Globals are structures for storing hierarchical information. They are somewhat similar to key-value database with the only difference being that the key can be multi-level:

Hi Developers and Interface Engineers!

FHIR-HL7v2-SQL-Demo

Ready to use demo of an FHIR Server with IRIS for Health 2020.2 :
* HL7v2 transformation to the FHIR Server
* FHIR Server who can be query in SQL

Installing

Clone this repository

git clone https://github.com/grongierisc/FHIR-HL7v2-SQL-Demo.git

Docker