According Wikipedia a mind map is a diagram used to visually organize information into a hierarchy, showing relationships among pieces of the whole. It is often created around a single concept, drawn as an image in the center of a blank page, to which associated representations of ideas such as images, words and parts of words are added. Major ideas are connected directly to the central concept, and other ideas branch out from those major ideas.

I created this application considering how to convert images such as prescription forms into FHIR messages

It recognizes the text in the image through OCR technology and extracts it, which is then transformed into fhir messages through AI (LLA language model).

Finally, sending the message to the fhir server of IntereSystems can verify whether the message meets the fhir requirements. If approved, it can be viewed on the select page.

We return with our example of using the FHIR Adapter, in this article we are going to review how we can configure it in our IRIS instances and what the result of the installation is.

The steps taken to configure the project are the same as indicated in the official documentation, you can review them directly here. Well, let's get to work!

1、Background

When I first encountered FHIR, I encountered a problem with its message format. It was difficult for me to determine whether the message I created met the format, and it was also difficult to easily create an FHIR message from scratch.

So, through fhir server of IntereSystems’fhirserver API, I created this application for quickly generating/validating FHIR messages.

🔥 Curious about the FHIR standard that everyone's talking about?

📚 Read on for a brief introduction, then try a brand-new learning path to get more in-depth knowledge!

The HL7® FHIR® standard has revolutionized the way healthcare developers take on the challenges of data interoperability. FHIR allows healthcare systems to exchange information seamlessly, and patient data can be consolidated in real time, regardless of where it's stored.

Hi Developers,

We have exciting news! The new InterSystems online programming contest dedicated to all things health-related will start very soon!

🏆 InterSystems FHIR and Digital Health Interoperability Contest 🏆

Duration: January 15 - February 4, 2024

Prize pool: $14,000

Iris Healthtoolkit Service

Easy to use HL7v2 to FHIR, CDA to FHIR, FHIR to HL7v2 as a Service.

The aim of this project is to provide an REST API that can convert easily various health formats.
Post the desire format in the REST body, get the answer in the new format.

Job Description

Planning, building, training, and manage (Program and Project) to convert HL7 inbound messages (coming from primarily Epic) to InterSystems FHIR.

Looking for a person who can develop (well versed in InterSystems FHIR experience), demo, train/mentor the team, manage the project.

We are in the process of installing a FHIR server on our InterSystems interface engine and have encountered a few questions. Your expertise and insights would be greatly appreciated:

clinFHIR is a web application that has been developed pretty much over the same time as FHIR has.

Originally developed to help clinicians visualize FHIR (hence the ‘clin’ in the name) it has become more widely used by the FHIR community for learning FHIR and assisting with design. It is maintained by David Hay - one of the FHIR Management Group co-chairs with support from InterSystems, which is much appreciated!

There are 4 modules that may be of interest to participants in the upcoming Interoperability contest.

• The Patient viewer for looking at an individual patients records
• Server Query which makes RESTful API calls against a FHIR server displaying the result in different formats
• Bundle Visualizer which will display the contents of a bundle
• Graph Builder which allows you to build graphs of interconnected resources.

I’ve created a longer post on google docs that goes into a little more details of these modules, with links to other resources such as my blog and the R4 Specification and R5 FHIR specification. I’ll be enhancing that over time - feel free to comment.

A note with regard to FHIR versions. The latest version is R5 (release 5), though many in the community still use R4. In most cases, if you're not sure then use R4. If you're not sure which version a FHIR Server supports, examine its CapabilityStatement which you can get from the server endpoint [host]/metadata

I should also point out that clinFHIR doesn’t currently use SSL. It is on the roadmap, but there are a few issues to work through. The consequence of this is that if you enter ‘clinfhir.com' into the browser, it may not find it. You sometimes have to specify http://clinfhir.com/ .

If you need further assistance, I would alway recommend using the FHIR chat, and if your question / comment / suggestion is related to clinFHIR then there’s a specific stream there.

Hoping someone can help,

I have the "Sample FHIR Production" installed ( as described in the documentation) with the following Components:

Service: HS.Gateway.ECR.SDA3XMLFileService

Processes: HS.FHIR.FromSDA.DTL.Transaction.Process

Operations: HS.FHIR.Repository.Operations

Hi folks!

Recently I was in need to setup a local FHIR server using IRIS For Health and I think I found the easiest and simplest way ever.

Just run in terminal these two lines below :

docker run --rm --name my-iris -d --publish 9091:1972 --publish 9092:52773 intersystemsdc/irishealth-community

and

docker exec -it my-iris iris session iris -U "USER" '##class(%ZPM.PackageManager).Shell("install fhir-server")'

And you'll have FHIR server running locally at http://localhost:9092/fhir/r4.

That's it!

The FHIR server will use the latest build of InterSystems IRIS for Health Community Edition and will deploy FHIR server from this app via IPM package in FHIRSERVER namespace.

This is for Mac, so please add in comments how it works in Windows.

This is a very short article as it is really easy to setup a local FHIR server with InterSystems IRIS for Health and IPM Package Manager.

Introduction

This article aims to explore how the FHIR-PEX system operates and was developed, leveraging the capabilities of InterSystems IRIS.

Streamlining the identification and processing of medical examinations in clinical diagnostic centers, our system aims to enhance the efficiency and accuracy of healthcare workflows. By integrating FHIR standards with InterSystems IRIS database Java-PEX, the system help healthcare professionals with validation and routing capabilities, ultimately contributing to improved decision-making and patient care.