Problem

In a fast-paced clinical environment, where quick decision-making is crucial, the lack of streamlined document storage and access systems poses several obstacles. While storage solutions for documents exist (e.g, FHIR), accessing and effectively searching for specific patient data within those documents meaningfully can be a significant challenge.

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Good morning, evening, night,... wink

A small reflection/question for today... it's true that new IRIS for Health (I4H) releases are more and more powerful each time regarding FHIR capabilities. Nowadays it allows us to consume FHIR resources with extrem easiness, we can connect with end-points in external FHIR servers very easily and make I4H act as passthrough or consume their resources... or, even more, we can define, configure and run a FHIR repository in, literally, less than 5 minutes.

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Article
· Feb 13, 2023 7m read
My first experience in using IAM

Experience & feedback from online course "Hands-On with InterSystems API Manager for Developers"

With my basic knowledge of Docker container and REST API, I would like to have my first try on using InterSystems API manager to take control of APIs and microservices. I have completed this online course using my local IRIS instance as host (Windows OS) and IAM running on a Linux VM (guest).

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Hello Community,

SQL language remains the most practical way to retrieve information stored in a database.

The JSON format is very often used in data exchange.

It is therefore common to seek to obtain data in JSON format from SQL queries.

Below you will find simple examples that can help you meet this need using ObjectScript and Python code.

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We resume our series of articles on the FHIR Adapter tool available to HealthShare HealthConnect and InterSystems IRIS users.

In the previous articles we have presented the small application on which we set up our workshop and showed the architecture deployed in our IRIS instance after installing the FHIR Adapter. In today's article we will see an example of how we can perform one of the most common CRUD (Create - Read - Update - Delete) operations, the reading operation, and we will do it by recovering a Resource.

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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.

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Hi, I would like to tell you how easy it is to spin up IRIS for Health docker container in compute engine(VPS) in google cloud.

I know that to run IRIS for Health in AWS is pretty simple and straightforward, but I wanted to tried if its same easy in GCP environment.

Create vm instance. 2GB RAM is more than enough.

I used Debian 11 as Linux distro.

Standart persistent disk is cheaper.

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Hi InterSystems Developers!

Recently I've updated the FHIR dev template so that it now publishes an IPM package fhir-server that makes the setup of InterSystems FHIR server a trivial manual or automatic or programmatic procedure one command long.

Please see below how you can benefit from it.

TLDR

USER>zpm "install fhir-server"

All the details below.

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** Revised Feb-12, 2018

While this article is about InterSystems IRIS, it also applies to Caché, Ensemble, and HealthShare distributions.

Introduction

Memory is managed in pages. The default page size is 4KB on Linux systems. Red Hat Enterprise Linux 6, SUSE Linux Enterprise Server 11, and Oracle Linux 6 introduced a method to provide an increased page size in 2MB or 1GB sizes depending on system configuration know as HugePages.

At first HugePages required to be assigned at boot time, and if not managed or calculated appropriately could result in wasted resources. As a result various Linux distributions introduced Transparent HugePages with the 2.6.38 kernel as enabled by default. This was meant as a means to automate creating, managing, and using HugePages. Prior kernel versions may have this feature as well however may not be marked as [always] and potentially set to [madvise].

Transparent Huge Pages (THP) is a Linux memory management system that reduces the overhead of Translation Lookaside Buffer (TLB) lookups on machines with large amounts of memory by using larger memory pages. However in current Linux releases THP can only map individual process heap and stack space.

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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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Article
· Jul 7, 2023 8m read
Iris FHIR Python Strategy

Description

With InterSystems IRIS FHIR Server you can build a Strategy to customize the behavior of the server (see documentation for more details).

Image

This repository contains a Python Strategy that can be used as a starting point to build your own Strategy in python.

This demo strategy provides the following features:

  • Update the capability statement to remove the Account resource
  • Simulate a consent management system to allow or not access to the Observation resource
    • If the User has sufficient rights, the Observation resource is returned
    • Otherwise, the Observation resource is not returned
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InterSystems FAQ rubric

※Use this method if you want to compare databases that have been replicated using mirroring, shadowing, or some other mechanism.

You can use the DATACHECK utility to compare global variables. Please refer to the document below.
Overview of DataCheck [IRIS]

***

Routine comparisons use the system routine %RCMP or the Management Portal.

Below is how to use it in the Management Portal.

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Hi developers!

Maybe you have to implement scenarios that don't require a FHIR repository, but forwarding FHIR requests, manage the responses and maybe run transformations or extract some values in between. Here you will find some examples that can be implemented using InterSystems IRIS For Health o HealthShare Health Connect.

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image

This article will cover turning over control of provisioning the InterSystems Kubernetes Operator, and starting your journey managing your own "Cloud" of InterSystems Solutions through Git Ops practices. This deployment pattern is also the fulfillment path for the PID^TOO||| FHIR Breathing Identity Resolution Engine.

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In this article, we'd like to describe Med.me's incubation experience and takeaways, the cross-organizational booking problem, and our approach to solving it.

This exciting story started during one of the regular medtech meetups, where I met @Evgeny Shvarov, senior InterSystems chief of the Developer Community. Following the good old startup rule “pitch wherever you can”, I briefly explained to Evgeny Med.me concept – EHR exchange and appointment scheduling platform to automate and simplify communication between clinics, pharma on one hand and insurance companies, doctors, and patients on the other.

Evgeny listened carefully and replied that InterSystems provides plenty of products to solve the interoperability problems amongst the vast variety of EMRs and kindly advised me to hurry up to apply to the FHIR incubator Caelestinus powered by InterSystems.

That led to a start of an amazing 9-months long road where we were able to ramp up our understanding of interoperability, participate at the InterSystems Global Summit, find new customers and partners, and where the new concept of Resource Availability Exchange was born.

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Intro

If you ever wondered how to debug some requests that are being made to or from IRIS, well here is a little tutorial on how to do that.

During a complex project, usually you get the specifications and implement the communication between IRIS and other things based on that. But from the paper to the real world there's usually a huge gap and you need to know why you are receiving an error on a parameter, on a header, you are not receiving the data and so on.

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