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InterSystems IRIS for Health
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movie

Sample App to IRIS API Patterns

Yuri Marx
Docker
IPM
4.0 (1)03 Aug, 2021 214 27

fhir-integratedml-example

An example on how to use InterSystems IRIS for Health FHIR database to perform ML models througth InterSystems IRIS IntegratedML

José Pereira
Docker
ML
ML
4.8 (3)01 Aug, 2021 836

InterSystems Ideas Waiting to be Implemented

Implement IRIS connector for Airbyte data integration engine

Airbyte is an open-source data integration platform that allows users to sync data from different sources to various destinations. Its architecture is modular and it relies on the use of connectors for each source or destination. Every connector has the task of understanding, extracting, and writing data from or to a specific system. https://airbyte.com/connectors The reasons for implementing a connector to IRIS for Airbyte include: * Real-time Data Movement: If you want to move data in real-time (or near-real-time) from IRIS to other platforms (or vice-versa), a dedicated connector in Airbyte can facilitate that. * Ease of Use: With an Airbyte connector, users can easily set up and manage data integrations without having to write custom code. This is particularly useful for teams without extensive development resources. * Scalability: Airbyte's architecture supports scalable data integration. As your data grows in IRIS or other platforms, Airbyte can handle the increased load. * Customization: Every organization's data needs are unique. With an open-source platform like Airbyte, organizations have the flexibility to customize the IRIS connector as per their specific needs. * Community Support: As more organizations use and contribute to the Airbyte connector ecosystem, the connectors, including the one for IRIS, will benefit from community-driven enhancements, bug fixes, and best practices. In conclusion, implementing a connector to IRIS for Airbyte can significantly simplify and enhance the process of integrating InterSystems IRIS with other data platforms and tools, enabling organizations to gain more value from their data assets. Airbyte offers cloud or self-managed solutions, as well as open-source and enterprise.

D
by Dmitry Maslennikov

4

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Google Cloud Platform PubSub Business Hosts

Interoperability components for GCP PubSub

M
Marc Mundt
0.0 (0)22 Jul, 2021 344

GitHubAPI

Github API for InterSystems IRIS

E
Eduard Lebedyuk
Docker
IPM
5.0 (1)29 Jun, 2021 390 204

eap-sql2xlsx

A simple example of using the python openxl library to export a

Sergey Mikhailenko
Docker
IPM
5.0 (1)27 Jun, 2021 309 18

workshop-rest-iam

Workshop: InterSystems IRIS + REST development + API manager

A
Alberto Fuentes
Docker
0.0 (0)14 Jun, 2021 494

ompare

Compare side-by-side multiple disconnected IRIS / Cache systems.

A
Alex Woodhead
IPM
4.5 (1)12 Jun, 2021 526 22

reports-server-demo

This app demonstrates how to run InterSystems Reports Server in

E
Eduard Lebedyuk
Docker
0.0 (0)03 Jun, 2021 377

iris-on-fhir

App to show the potential of FHIRaaS

Henrique Dias
Docker
IPM
3.5 (1)01 Jun, 2021 752 27

FHIR Simple Demo Application

FHIR Simple Demo Application

M
Marcello Correa
2.5 (1)30 May, 2021 734

FHIRaaS with OAuth 2.0

This is a straightforward Angular app using the FHIR Accelerator Service as the Clinical Repository. It uses OAuth 2.0 as authorization and displays all patients and resources as JSON.

R
Regilo Regilio Guedes de Souza
0.0 (0)30 May, 2021 216

FHIR Data Studio Connector

Community connector to Google Data Studio for FHIR

Dmitry Maslennikov
0.0 (0)24 May, 2021 475

zapm-editor

Namespace navigator ZPM and editor of routines, globals, texts and tables in terminal mode.

Sergey Mikhailenko
Docker
IPM
5.0 (1)25 Apr, 2021 177 37

i2b2-on-iris

Proof-Of-Concept of I2B2 using IRIS as backend

Olga Verevkina
Docker
IPM
2.5 (1)22 Apr, 2021 429 21

assert-objectscript

AssertJ Style assertion library for objesctscript

N
Niklas Thilmont
Docker
IPM
4.0 (1)22 Apr, 2021 253 2.1k

Grafana Plugin for InterSystems

Grafana Data Source Plugin for InterSystems

Dmitry Maslennikov
Docker
4.0 (1)19 Apr, 2021 1.0k

InterSystems LanguageServer

InterSystems Language Server which works directly with SuperPort

Dmitry Maslennikov
0.0 (0)17 Apr, 2021 293

IntelliJ InterSystems

IntelliJ IDEA Plugin for InterSystems

Dmitry Maslennikov
0.0 (0)17 Apr, 2021 547

gj :: locate

Copy an InterSystems IRIS error message and paste in to VS Code to go to the source line

George James
5.0 (1)16 Apr, 2021 352

iris-rad-studio

IRIS RAD Studio it's a low-code solution that came to make the developer's life easier; Allowing everyone to create their CRUD based on a simple class definition or even a CSV file.

Henrique Dias
Docker
IPM
3.5 (1)15 Apr, 2021 1.1k 79

RESTFormsRAD

Forms adapter for InterSystems IRIS RAD Studio

Henrique Dias
Docker
IPM
3.0 (1)12 Apr, 2021 246 165

iris-dataset-titanic

Titanic passengers dataset in InterSystems IRIS. Could be imported as ZPM too

Evgeny Shvarov
Docker
IPM
5.0 (1)02 Apr, 2021 460 42

iam-zero-to-hero

Self training for IAM (InterSystems API Manager).

G
Guillaume Rongier
3.5 (1)30 Mar, 2021 807

mg_php

A PHP Extension for InterSystems Caché/IRIS.

C
Chris Munt
0.0 (0)25 Mar, 2021 225

mg_go

A GO Extension for InterSystems Caché/IRIS.

C
Chris Munt
0.0 (0)25 Mar, 2021 713

mg-dbx

A Node.js Extension for InterSystems Caché/IRIS. The focus and rationale for this solution is high-performance NoSQL-based access to the database, though access to InterSystems SQL, Objects and Functions is also supported.

C
Chris Munt
Python
0.0 (0)25 Mar, 2021 263

mg_ruby

A Ruby extension for InterSystems M/Caché/IRIS

C
Chris Munt
0.0 (0)25 Mar, 2021 274

mg_python

A Python Extension for InterSystems Caché/IRIS.

C
Chris Munt
Python
4.0 (1)24 Mar, 2021 319

vscode-intersystems-iris

POC of VSCode extension which provides some control over InterSystems IRIS with direct native access, without utilizing AtelierAPI. Provides access to Interoperability and Globals.

Dmitry Maslennikov
5.0 (1)03 Mar, 2021 487

Dictionary comparison scheme of cache database

The dictionary comparison of the data collected in the cache database is carried out, and the dictionary related data cleaning work is quickly completed through the global model, so as to build a unified and correct database for the hospital

W
Weiwei Yang
0.0 (0)27 Feb, 2021 282