Hi Community

I have created one business service created from "HS.FHIRServer.Interop.Service" in FHIR production.

I want to validate FHIR Patient resource that the age must be greater than 18 years.

How can I achieve this from objectscript as well as from DTL?
Thanks

Hi Community
In this article, I will introduce my application IRIS-GenLab.
IRIS-GenLab is a generative AI Application that leverages the functionality of Flask web framework, SQLALchemy ORM, and InterSystems IRIS to demonstrate Machine Learning, LLM, NLP, Generative AI API, Google AI LLM, Flan-T5-XXL model, Flask Login and OpenAI ChatGPT use cases.

Hi Community
In this article, I will introduce my application IRIS-FlaskBlog.
IRIS-FlaskBlog Application is a real-world application that leverages the functionality of Flask web framework, SQLALchemy ORM, and InterSystems IRIS. The application contains user registration and authentication with the help of Flask-Login python library, a responsive user interface to create and edit posts.

Hi Community,

In my previous article, we learned topics listed below:

1. What is Docker?
2. Some of the Docker benefits
3. How does Docker work?
4. Docker Image
5. Docker Container
6. Docker Image repository
7. InterSystems's Docker image repository
8. Docker Installation
9. Docker Basic Commands
10. Running IRIS community edition by using Docker
11. Docker Desktop GUI

In this article, we will cover the following topics:

1. Use of Docker Compose file (a YAML file)
2. Use of Docker file (employed to build a Docker image)
3. Use of Docker volume

So let's begin.

The FHIR® SQL Builder, or Builder, is a component of InterSystems IRIS for Health. It is a sophisticated projection tool used to create custom SQL schemas using data in an InterSystems IRIS for Health FHIR repository without moving the data to a separate SQL repository. The Builder is designed specifically to work with FHIR repositories and multi-model databases in InterSystems IRIS for Health.

The objective of the Builder is to enable data analysts and business intelligence developers to work with FHIR using familiar analytic tools, without having to learn a new query syntax.

As an AI language model, ChatGPT is capable of performing a variety of tasks like language translation, writing songs, answering research questions, and even generating computer code. With its impressive abilities, ChatGPT has quickly become a popular tool for various applications, from chatbots to content creation.
But despite its advanced capabilities, ChatGPT is not able to access your personal data. So in this article, I will demonstrate below steps to build custom ChatGPT AI by using LangChain Framework:

Hi Community
In this article, I will introduce my application irisChatGPT which is built on LangChain Framework.
First of all, let us have a brief overview of the framework.

The entire world is talking about ChatGPT and how Large Language Models(LLMs) have become so powerful and has been performing beyond expectations, giving human-like conversations. This is just the beginning of how this can be applied to every enterprise and every domain! 

Hi Community,

In this article, we will learn the below topics listed below:

1. 
   
   What is Docker?
2. 
   
   Some of the Docker benefits
3. 
   
   How does Docker work?
4. 
   
   Docker Image
5. 
   
   Docker Container
6. 
   
   Docker Image repository
7. 
   
   InterSystems's Docker image repository
8. 
   
   Docker Installation
9. 
   
   Docker Basic Commands
10. 
    
    Running IRIS community edition by using docker
11. 
    
    Docker Desktop GUI

So Let's start.

1. What is Docker?

Docker is Virtualization software that makes developing and deploying applications very easy.

The Jupyter Notebook is an open source web application that can be used to create and share documents that contain live text, code, equations and visualizations. It is maintained by the people at Project Jupyter.

Jupyter name comes from the core supported programming languages that it supports: Julia, Python, and R.
It allows users to write code in "cells," which are blocks of code that can be executed individually or together. This makes it easy to test and debug code, as well as to organize and present complex analyses.

Hi Community,
In this article, I will introduce my application iris-mlm-explainer

This web application connects to InterSystems Cloud SQL to create, train, validate, and predict ML models, make Predictions and display a dashboard of all the trained models with an explanation of the workings of a fitted machine learning model. The dashboard provides interactive plots on model performance, feature importances, feature contributions to individual predictions, partial dependence plots, SHAP (interaction) values, visualization of individual decision trees, etc.

Hi Community,
In this article I will demonstrate the usage of InterSystems Embedded Python, We will cover below topics:

• 1-Embedded Python Overview
• 2-Usage of Embedded Python
  • 2.1- Using a Python Library from ObjectScript
  • 2.2- Calling the InterSystems APIs from Python
  • 2.3- Using ObjectScript and Python together

• 3-Using python Built-in Functions
• 4-Python Modules/Libraries 
• 5-Embedded Python Use Cases
  • 5.1- Printing PDF by using python Reportlab Library
  • 5.2- Generating QR code by using Python Qrcode Library
  • 5.3- Get GEO location by using Python Folium Library
  • 5.

Hi Community,

This article is a continuation of my article about  Getting to know Python Flask Web Framework   

In this article, we will cover the basics of topics listed below:

1. Routing in Flask Framework
2. Folder structure for a Flask app (Static and Template)
3. Getting and displaying data in the Flask application from IRIS.

So, let's begin.

Hi Community,
In this article I will demonstrate below steps to add Interactive map and visualize geographic data to web application:

• Step1 : Install Application
• Step2 : Create CSP Page
• Step3 : Extend dc.IrisGeoMap.Folium class
• Step4 : Invoke DrawGeoDetails() Method

So Let us start.
 

Step1 : Install Application

First of all we need to install iris-geo-map application by using ZPM

zpm "install iris-geo-map"

Hi Community
In this article, I will demonstrate the functionality of my app iris-geo-map
 

IRIS Geo Map application is a tool to visualize geographic data by generating interactive maps by using Embedded Python functionality. Application is using Folium Python library

folium builds on the data wrangling strengths of the Python ecosystem and the mapping strengths of the leaflet.js library. Manipulate your data in Python, then visualize it in on a Leaflet map via folium. folium makes it easy to visualize data that’s been manipulated in Python on an interactive leaflet map.

Hi Community,

In this article, I listed 5 useful SQL functions with explanations and query examples 👇🏻
These 5 functions are

• COALESCE
• RANK
• DENSE_RANK
• ROW_NUMBER
• Function to Get Running Totals

So Let us start with COALESCE function

Hi Community,
In this article, I will introduce Python Flask Web Framework. Together we will create a minimal web application to connect to IRIS and get data from it.
Below you can find the steps we will need to follow:

• Step 1 : Introduction to Python Flask Web Framework
• Step 2 : Installation of Flask module
• Step 3 : Creation of web application using Flask
• Step 4 : Use of HTML Templates 
• Step 5 : Installation of IRIS Python Native module
• Step 6 : Establishment of a connection with IRIS 
• Step 7 : Transferring data from IRIS to Flask and displaying it

So Let's start with step 1

Step1-Introduction to Python Flask Web Framework 

Flask is a small and lightweight Python web framework that provides useful tools and features that make creating web applications in Python easier. It gives developers flexibility and is a more accessible framework for new developers since it allows to build a web application quickly using only a single Python file. Flask is also extensible and doesn’t requires a particular directory structure or complicated boilerplate code before getting started.

For more details please view Flask Documentations

Hi Community,
In this article I will demonstrate the functionality of my app iris-energy-isodata .  
Application is accessing energy data (production, demand and supply)  from the major Independent System Operators (ISOs) in the United States to ensure sustainable consumption and production patterns (SDG's 12)

Application is using python library isodata , Production EXtension PEX  along with Embedded Python.

Hi Community,

This post is a introduction of my open exchange iris-climate-change application.

iris-climate-change  web application Imports  The Food and Agriculture Organization (FAO) Climate Change dataset by using LOAD DATA (SQL) functionality and analyze and visualize data with the help of Python Flask Web Framework, Pandas Python data analysis Library, Plotly Open Source Graphing Library for Python and Plotly JavaScript Open Source Graphing Library.

Hi Community,

In this article I will explain how to display management portal dashboard by using Python Flask web and Boostrap framework with the help of embedded python
 

Hi Community,

This article will demonstrate how to create Patient and Patient Observation Resources  by using iris-fhir-client application.

I recommend to read my  first article  about this app and watch Youtube Video  before continue

so let's start

Hi Community,

This post is a introduction of my open exchange iris-fhir-client application.

 iris-fhir-client can connect to any open FHIR Server by using embedded python with the help of fhirpy Library.
Get Resource information by terminal and by using CSP web application.

Hi All,

Since yesterday I am getting below error while calling InterSystems FHIR Server (FHIRaaS) API 

Looking Forward
Thanks

Hi,

Currently I am working to develop smart on FHIR app with FHIRaas with the help of fhirclient.js and facing one issue that .well-known/smart-configuration is raising following error "This endpoint does not have SMART on FHIR capabilities defined" Below snapshot is for reference:

 

Looking forward to resolve the above issue or workaround

Thanks

Hi Community,

This post is a introduction of my openexchange iris-globals-graphDB application.
In this article I will demonstrate how to save and retrieve Graph Data into InterSystems Globals with the help of Python Flask Web Framework and PYVIS Interactive network visualizations Library

Recommendation

• Read related documentations Using Globals
• Introduction to the Native SDK
• PYVIS Interactive network visualizations Liabrary

Step1 : Establish Connection with IRIS Globals by using python native SDK

 #create and establish connection
  if not self.iris_connection:
         self.

Hi, Community,

This post will demonstrate how to display data on the web by using Embedded Python , Python Flask Web Framework and Jquery datatable

We will display processes from %SYS.ProcessQuery table.

Step 1: Add table to HTML page and write below javascript code to display passed data from app.py :

HTML

  <table id="myTable" class="table table-bordered table-striped">                 
   </table>

Javascript

  <script>
    
$(document).ready(function() {
      // parse the data to local variable passed from app.py file
      let my_data = JSON.

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.

Hi,

I am getting below error while using embedded python script.

Want to know how can I change namespace to %SYS to use above mentioned class?

Thanks

With the release of InterSystems IRIS 2021.2 Preview and all-new LOAD DATA functionality dataset can by added with Objectscript Package Manager (ZPM) 

Medical Datasets contains following 12 datasets. For dataset tables and data details please visit ONLINE DEMO by using SuperUser | SYS 

In this article I will explain the usage of %SQL_Diag.Result and %SQL_Diag.Message table along with all-new LOAD DATA functionality.

It is recommended to go through LOAD DATA documentation first. 

After successful operation LOAD DATA insert one record in %SQL_Diag.Result table and details are inserted in %SQL_Diag.Message table

Below is the basic command when table is already created and source file does not contain header row. 

LOAD DATA FROM FILE 'C://TEMP/mydata.txt' 
INTO MyTable

The file name must include a .txt or .csv (comma-separated values) suffix and both source and target have the same sequence of data columns.

Loading from File Source: Header

Application to import 12 Datasets along with 43 tables dynamically by using  LOAD DATA command which loads data from a source into an IRIS SQL table. 
List of Datasets