In the past, reading information from a bar code was limited to a simple alphanumeric code. The creation of a bar code with more than one dimension (2D), especially the QR Code, allowed to increase the amount and variety of data stored in a bar code. While conventional bar codes are capable of storing a maximum of approximately 20 digits, the QR Code is capable of handling several tens to hundreds of times more information. This revolutionized the markets. Now QR codes are everywhere and can be very useful for storing textual, numeric, alphanumeric and even binary data.

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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 :)

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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

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I was searching for the most simple way to connect from visual studio code to my local instance via terminal without having to change any window.

I know this can also be achieved via telnet but seems a bit overhead if you're in your local machine.

For me the simplest sollution is to open a terminal window in VS Code, navigate to the /bin folder of your instance installation and run .\csession.exe INSTANCENAME

For simplicity you can just include your /bin folder in your path so you don't even need to navigate there

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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.

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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.

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Article
Guillaume Rongier · Jul 4, 2019 1m read
Install EnsDemo on IRIS

Has you may know, EnsDemo from Ensemble are not available anymore on IRIS.

This is a good thing, Iris is cloud oriented, it must be light, fast. Now the new way of sharing samples or modules is through git, continuous integration and OpenExchange.

But, in some cases you want to go back to your good old samples from EnsDemo to get inspiration or best practices.

Good news, there is a git for that :

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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.

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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 -

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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.

image

 

 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.

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InterSystems and Intel recently conducted a series of benchmarks combining InterSystems IRIS with 2nd Generation Intel® Xeon® Scalable Processors, also known as “Cascade Lake”, and Intel® Optane™ DC Persistent Memory (DCPMM). The goals of these benchmarks are to demonstrate the performance and scalability capabilities of InterSystems IRIS with Intel’s latest server technologies in various workload settings and server configurations. Along with various benchmark results, three different use-cases of Intel DCPMM with InterSystems IRIS are provided in this report.

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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.

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I'm always on the lookout for tools that make the development and testing of my interfaces more efficient. A couple of years ago I came across HL7 Spy, from Inner Harbour Software. It quickly became my go-to tool for running message comparison reports for interface engine migrations, message statistics gathering, and troubleshooting message receipt and delivery. It also offered enhanced functionality for things like fetching messages via sftp that other tools don't provide.

I've recently been working with HL7 Spy's author, Jon Reis, to enable support for fetching messages directly from the Ensemble message store. Its SQL Loader feature now has native Caché/IRIS support, and I've contributed a small server-side class to support the extraction of messages using it.

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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.

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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.

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Article
Henrique Dias · Aug 22, 2020 2m read
My experience working with FHIR

Hi Community,

I want to share my experience creating the iris-fhir-portal with FHIR.  

I decided to take a step forward and join the IRIS for Health FHIR contest, but I had never worked with FHIR before.

After the FHIR Contest Kick-Off Webinar, where we got an overview of how the IRIS for Health works with FHIR, I started to looking at the FHIR documentation to create my Patient Chart project.

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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:

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Article
Henrique Dias · Aug 26, 2020 3m read
Updating Patient Resource using fhir.js

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. 

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Article
Ron Sweeney · Dec 7, 2020 6m read
IRIS Python Native API in AWS Lambda

If you are looking for a slick way to integrate your IRIS solution in the Amazon Web Services ecosystem, server less application, or boto3 powered python script, using the IRIS Python Native API could be the way to go. You don't have to build out to far with a production implementation until you'll need to reach out and get something or set something in IRIS to make your application do its awesome sauce, so hopefully you will find value in this article and build something that matters or doesn't matter at all to anybody else but you as that is equally important.

image

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Article
Bob Kuszewski · Jun 19, 2020 5m read
Migrate from Java Business Host to PEX

Migrate from Java Business Host to PEX

With the release PEX in InterSystems IRIS 2020.1 and InterSystems IRIS for Health 2020.1, customers have a better way to build Java into productions than the Java Business Host. PEX provides a complete set of APIs for building interoperability components and is available in both Java and .NET. The Java Business Host has been deprecated and will be retired in a future release.

Advantages of PEX

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