In part I of this article, we have already learned more about HL7, its messages, structure, segments, and fields. In this part II, we will show you how to transform proprietary/custom data into HL7 using IRIS for Health. For our sample, we used the data generated by the SYNTHEA bulk data generation project (https://synthea.mitre.org/downloads). So, we will show you how to convert 1000 patients from a CSV file to HL7 v2, using the Interoperability features of IRIS for Health.

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FHIR Terminology Service specification describes a set of operations on CodeSystem, ValueSet and ConceptMap resources. Among those operations, the following four operations appear to be the most widely adopted ones:

CodeSystem ValueSet
$lookup
$validate-code
$expand
$validate-code

Developing a partial implementation of the specification has been an effective way to explore the new FHIR framework introduced in IRIS for Health 2020.1. The implementation includes four operations listed above, and supports read and search interactions for CodeSystem and ValueSet resources.

It's important to note that the implementation uses plain ObjectScript persistent classes as source terminology tables.

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Article
· Dec 1, 2022 1m read
My First FHIR app

I participated in InterSystems Women’s Health FHIR contest, because I loved the challenge to learn a new-to-me technology. I wanted to develop an app that receives data from a mobile device like my Fitbit or a Smart Watch. I did not get access to such data except when I downloaded a spreadsheet (CSV file) showing my daily steps and sleep data. I saw in iris-fhir-template it imported some patient data to a FHIR server.

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Written in reply to community post for can Python create HL7 Message dynamically.

Pre-requisites and setup

Use an integration enabled namespace.
Note: USER namespace is not enabled for interoperability by default.
If following suggest create a new interoperatibility namespace to explore functionality.

# Switch to
ZN "[Interoperability Namespace Name]"

# Launch interactive Python shell:
Do $SYSTEM.Python.Shell()

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Article
· Jan 28 3m read
Fhir-HepatitisC-Predict

Processing FHIR resources with FHIR SQL BUILDER to predict the probability of developing hepatitis C disease

With the development of technology, the medical industry is also constantly advancing, and humans often pay more attention to their own health,
By learning and processing datasets through computers, diseases can be predicted.

Pre condition: Ability to use FHIR and ML
Firstly, our dataset is obtained from kaggle and transformed into FHIR resources based on patient gender, age, ALP or ALT, and imported into the FHIR resource repository

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Hi Developers!

Another way to start using InterSystems ObjectScript Package Manager is to use prebuilt container images of InterSystems IRIS Community Edition and InterSystems IRIS for Health Community Edition.

We deploy this IRIS images on DockerHub and you can run it with the following command:

docker run --rm -p 52773:52773 --init --name my-iris -d intersystemsdc/iris-community:2019.4.0.383.0-zpm

Launch a terminal with:

docker exec -it my-iris iris session IRIS

And install zpm-module as:

USER>zpm 

zpm: USER>install objectscript-math

[objectscript-math] Reload START

[objectscript-math] Reload SUCCESS

[objectscript-math] Module object refreshed.

[objectscript-math] Validate START

[objectscript-math] Validate SUCCESS

[objectscript-math] Compile START

[objectscript-math] Compile SUCCESS

[objectscript-math] Activate START

[objectscript-math] Configure START

[objectscript-math] Configure SUCCESS

[objectscript-math] Activate SUCCESS

zpm: USER>

And use same commands for InterSystems IRIS for Health using the tag: intersystemsdc/irishealth-community:2019.4.0.383.0-zpm

The images are being published on IRIS Community Edition and IRIS Community Edition for Health repositories of Docker Hub.

We will update tags with every new release of IRIS and ZPM.

Happy coding!

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Article
· 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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Setting up Management Portal Help Pages for Full WebServers

On each page of the System Management Portal, there is a “Help” button. This takes users to an article in documentation that describes the page functionality and use.

Caché provides local documentation for all of these articles.

InterSystems IRIS does not provide local documentation. Instead, the Help button will redirect users to the articles in the online documentation at docs.intersystems.com.

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Article
· Jun 22, 2023 1m read
Countermeasures against SQL injection

InterSystems FAQ rubric

Countermeasures against SQL injection have been published on various websites, but we believe that it is possible to prevent SQL injection in applications using InterSystems SQL as well as other RDBMS by implementing these countermeasures appropriately. In addition, InterSystems Data Platform (hereinafter referred to as IRIS) incorporates several measures that make SQL injection more difficult than general RDBMS.

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InterSystems FAQ rubric

It can be retrieved using the schema INFORMATION_SCHEMA.

INFORMATION_SCHEMA is a system schema and is not displayed by default in the SQL menu of the Management Portal.

The method to display it is as follows.

  1. Open Management Portal → System Explorer → SQL menu.
  2. Check "System" on the left of the schema drop-down.
  3. Select INFORMATION_SCHEMA from the schema dropdown.

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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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FTP (File Transfer Protocol) is a network protocol for transmitting files over TCP/IP connections in a network (including the Internet) configured to transfer files via this protocol. In an FTP transaction, a file sender is called a local host. A file receiver involved in FTP is a remote host, and it is usually a server. Although many file transfers can be conducted using Hypertext Transfer Protocol (HTTP), FTP is still commonly used to transfer files behind the scenes for other applications, such as banking services.

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Article
· Oct 23, 2019 2m read
Unit Tests for Data Transforms

Would you like to be sure your data transforms work as expected with a single command? And what about writing unit tests for your data transforms in a quick and simple way?

When talking about interoperability, there are usually a lot of data transforms involved. Those data transforms are used to convert data between different systems or applications in your code, so they are running a very important job.

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Motivation

The motivation behind the InterLang project is rooted in the innovative integration of LangChain chatbot agents with the Fast Healthcare Interoperability Resources (FHIR) framework to revolutionize conversational social prescriptions in healthcare. This project aims to leverage the rich and standardized data available through FHIR, an emerging standard in healthcare data exchange, to inform and empower these advanced chatbot agents.

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Hi everyone,

I want to talk about our project and use the dataset theme for this contest.

Our intention never was to be a data curator, especially because sometimes my precious data means a lot for me, but not for the rest of the world.

My Precious

We want to go a step further and empower the user to find the perfect dataset for their needs.

Our project is a bridge between the data science community and the developer's community using InterSystems IRIS to achieve this mission.

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InterSystems FAQ rubric

This error occurs when an instance of the class is already open at compile time.

There are two ways to deal with this issue:

  1. Terminate the process or application that has the instance open
  2. Compile options in the studio build menu: Check the compile flag “Compile classes in use” and compile.

If you want to determine which process is using the class, try the sample routine below.

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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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Article
· Apr 20, 2021 3m read
Why gj :: locate?

You may think it isn’t too difficult to get from label+offset^routine to the actual source line responsible for the error. For an expert it isn't that hard... most of the time. But there are enough oddities and special rules that even an expert can get it wrong, whilst spending a lot of time trying to get there.

gj :: locate is the latest tool from George James Software – it debugs any error, class or routine by converting the location of an error in compiled .int code to the corresponding location in your source, and then taking you right there.

Image this scenario…

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Being interoperable is more and more important nowadays. InterSystems IRIS 2022.1 comes with a new messaging API to communicate with event streaming platforms like Kafka, AWS SQS/SNS, JMS and RabbitMQ.

This article shows how you can connect to Kafka and AWS SQS easily.
We start with a brief discussion of the basic concepts and terms of event streaming platforms.

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Article
· Feb 7, 2023 3m read
IRIS Queue monitoring component

1. Overview

With more and more hospital applications built, business interface data processing may be affected by a variety of factors (network, consumer systems, etc.), there is an excessive accumulation of messages or even cause interface lag, affecting the routine performance of hospital IT systems , so the monitoring of the business interface components queue is increasingly important.

While current Intersystems IRIS platform's built-in queue monitoring only displays real-time queue information for interface components, which is limited in providing the queue data information needed by hospitals. The queue monitoring component program is based on the Intersystems IRIS platform and can monitor all interface components and display component queue information within 24h of the component, as well as query component historical queue data by setting a time period to better meet the needs of current in-hospital applications.

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InterSystems FAQ rubric

Using the Config.Configuration class and SYS.Database class methods, you can create and register a namespace database from the terminal.

Below is a series of execution examples that create database file /CacheDB/AAA/cache.dat and register database AAA and namespace AAA in the configuration file (cache.cpf).
* Execute in the %SYS namespace. *

* Make sure that this script runs as the user that is used for all IRIS processes to ensure that the directory has appropriate ownership and permissions *

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