#Contest

Hi Community,

In this article, I will introduce my application iris-fhir-bridge

IRIS-FHIR-Bridge is a robust interoperability engine built on InterSystems IRIS for Health, designed to transform healthcare data across multiple formats into FHIR and vice versa. It leverages the InterSystems FHIR Object Model (HS.FHIRModel.R4.*) to enable smooth data standardization and exchange across modern and legacy healthcare systems.

I know it's late, but I really love the advent of code theme each year to find some project ideas to go out and code something and push myself.

I had the intentions of completing the AOC 2018 before the new year, but I've got 2 young kids (1yo and 4yo), so most nights I just want to sleep.

I've been looking at this on my half hourly commute each day before and after work.

So whilst doing this, I found not many people had posted what they had done and in previous years.

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.

A few months ago, I read this interesting article from MIT Technology Review, explaing how COVID-19 pandemic are issuing challenges to IT teams worldwide regarding their machine learning (ML) systems.

Such article inspire me to think about how to deal with performance issues after a ML model was deployed.

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)

This is a series of programming challenges for beginners and experienced Caché programmers.

For an introduction : goto to article https://community.intersystems.com/post/advent-code-2016-day1-no-time-ta...

The challenge of day 5 is to calculate a password of 8 characters by finding the MD5 hash of the input and an increasing integer index.
The password is constructed by taking the 6th character of the first 8 hashes that start with 5 zeroes (in hex representation).

This is a series of programming challenges for beginners and experienced Caché programmers.

For an introduction : goto to article https://community.intersystems.com/post/advent-code-2016-day1-no-time-ta...

From the previous article, we identified some issues when working with JSON in SQL.

IRIS offers a dedicated feature for handling JSON documents, called DocDB.

InterSystems IRIS® data platform DocDB is a facility for storing and retrieving database data. It is compatible with, but separate from, traditional SQL table and field (class and property) data storage and retrieval. It is based on JSON (JavaScript Object Notation) which provides support for web-based data exchange. InterSystems IRIS provides support for developing DocDB databases and applications in REST and in ObjectScript, as well as providing SQL support for creating or querying DocDB data.

By its nature, InterSystems IRIS Document Database is a schema-less data structure. That means that each document has its own structure, which may differ from other documents in the same database. This has several benefits when compared with SQL, which requires a pre-defined data structure.

The word “document” is used here as a specific industry-wide technical term, as a dynamic data storage structure. “Document”, as used in DocDB, should not be confused with a text document, or with documentation.

Let's explore how DocDB can help store JSON in the database and integrate it into projects that rely solely on xDBC protocols.

In a previous question, I have illustrated a few problems using Embedded Python
interactively as you would do from Docker console or IRIS terminal.
Investigation of the causes brought a rather clear picture. It's a classic impedance mismatch

Hi Community,
In this article, I will demonstrate below steps to create your own chatbot by using spaCy (spaCy is an open-source software library for advanced natural language processing, written in the programming languages Python and Cython):

• Step1: Install required libraries

• Step2: Create patterns and responses file

• Step3: Train the Model

• Step4: Create ChatBot Application based on the trained model

So Let us start.

This is a series of programming challenges for beginners and experienced Caché programmers.

For an introduction : go to article https://community.intersystems.com/post/advent-code-2016-day1-no-time-ta...

Today, you need to make a compiler for the language assembunny.
Luckily, this language has only 4 instructions :

What is the OData

I cloned iris-interoperability-template for my app interoperability-test. I wanted to develop an app to test interfaces in Interoperability productions.

As I said in the previous article, I started to learn about FHIR for the contest, and I'd like to share an update in my application: detection of inconsistencies in FHIR data.

Note: This document it's also availble in GitHub.