Fast Healthcare Interoperability Resources (FHIR, pronounced "fire") is a draft standard describing data formats and elements (known as "resources") and an application programming interface (API) for exchanging electronic health records
Hey Community,
Watch the new video on InterSystems Developers YouTube:
⏯ Clinical Research Data Pipeline Using FHIR & OMOP @ Global Summit 2023
Hi, what is the easiest way to clear all the tables which store FHIR data? The most straitforward approach is to get a list of tables using the information_schema.tables view, then execute dynamic SQL with the "delete from" clause, but perhaps some helper class has already been written for this purpose?
Hi,
I am having an issue when I am publishing data to FHIR which is hosting in AWS. I am sending the data to the Cloud FHIR url but getting the below error.
Any idea how to resolve this issue? Any example to cretae FHIR repository using Object script?
:<!DOCTYPE HTML PUBLIC "-//IETF//DTD HTML 2.0//EN"> <html><head> <title>404 Not Found</title> </head><body> <h1>Not Found</h1> <p>The requested URL was not found on this server.</p> </body></html>
What are the advantages/disadvantages of using the Person resource with a link to the Patient and Practitioner resources, rather than using the Patient and Practitioner resources directly without using the Person resources?
I participated in InterSystems Women’s Health FHIR contest, because I loved the challenge to learn a new-to-me technology. I wanted to develop an app that receives data from a mobile device like my Fitbit or a Smart Watch. I did not get access to such data except when I downloaded a spreadsheet (CSV file) showing my daily steps and sleep data. I saw in iris-fhir-template it imported some patient data to a FHIR server. I figured out how to use a Data Transformation to transform a record from a delimited file into FHIR data which I could store into the FHIR server.
The objective of the article is to provide the reader with the following informations:
Schema of the article:
Hi Developers,
Enjoy watching the new video on InterSystems Developers YouTube:
⏯ A Payer's Journey to Regulatory Compliance and Beyond @ Global Summit 2022
Hi everyone,
I'm looking for a strategy for dividing a large FHIR message, in a post request, into smaller parts.
I have found the paging modifier for the GET request, but not a similiar one for the POST request. Maybe the 'batch' type of a Bundle could help me to indicate this aim but there aren't any attribute to say the total or the i-th element.
Do you know of any method for implementing 'paging' in a post request?
Hi,
I have a scenario where I recognize that I have a duplicate patient in FHIR , both have a different set of data attached to them (Specimens / Observations / Conditions) and I want to transfer all the data from patient X to patient Y, and maybe mark patient X as not relevant or delete it IDK yet.
since Patch currently supports only single patch,
"The Conditional Patch query identified more than one resource."
I can't use it as a bulk, but I need to loop through all the resources I find that are connected to patient X,
so I guess my question is how would you do it?
In the previous article we saw how we could recover a resource stored in the database of our particular HIS, so today we will see how we can add new records in our HIS whose origin is an FHIR resource that we receive in our system.
One of the main functionalities of FHIR is its support for CRUD operations through the Rest API, this implies that any system that works with FHIR must provide support for HTTP calls of the GET, POST, PUT and DELETE types.
Hey Developers,
Watch this video to learn how to deploy your FHIR server using AWS, EKS, and Kubernetes: advantages and disadvantages of cloud deployment and demo a deployment:
We conclude this series of SMART On FHIR articles with Auth0 and InterSystems IRIS FHIR Repository by reviewing our application developed in Angular 16.
Let's remember what the architecture defined for our solution is like:
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Our front-end application corresponds to the second column and as you can see it will be in charge of two things:
Hi,
how to add x-api-key to FHIR repository header using objectsctipt?
Thanks,
Prasanth
I recently participated in a fantastically organized hands-on by @Patrick Jamieson in which an Angular application was configured together with an IRIS FHIR server following the protocols defined by SMART On FHIR and I found it really interesting, so I decided to develop my own Angular application and thus take advantage of what I learned to publish it in the Community.
Let's see what Google tells us about SMART On FHIR:
SMART on FHIR is a data standard that allows applications to access information in electronic health record (EHR) systems.
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.
This is where FHIR (Fast Healthcare Interoperability Resources) comes in, a standard that has revolutionized data exchange in healthcare.
The introduction above is an example generated by AI, and as you can see, AI is around us everywhere, accessible to everyone…
We need to learn more about using AI to our advantage, making life easier in every aspect.
In 2021, I participated as an InterSystems mentor in a hackathon, where a newcomer to FHIR asked me if there was a tool to transform generic JSON data containing basic patient information into FHIR format. I informed her that I didn't know anything like that, unfortunately.
But that idea stays in my mind...
Several months later, in 2022, I came up with an idea to experiment: to train a named entity recognition (NER) to identify FHIR elements into generic texts.
Striking a Balance Between Health Analytics and Engaging Features
In today's digital era, health and lifestyle apps have flooded the market, promising a wide array of benefits from fitness tracking to nutrition planning and focusing on trendy features, such as step counting, calorie tracking, and habit monitoring. While the surge in app development is undoubtedly a positive sign of society's growing interest in health and wellness features can be engaging and motivate users to adopt healthier lifestyles, they often lack the depth required for serious health analytics.
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.
Hi Developers!
We are happy to present the bonuses page for the applications submitted to the InterSystems FHIR and Digital Health Interoperability Contest 2024!
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).
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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.
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Sometimes we need to convert FHIR message to HL7 V2, e.g. to register a patient to the PACS system.
In this article, I will explain the steps to achieve the desired by using IRIS FHIR Server production.
Below are the steps we need to follow:
Let's review the steps in detail.
Open the production page and make sure Production is started. In the next step, we need to make sure business service HS.FHIRServer.Interop.Service is registered with FHIRServer.png)
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!
As you can see in the project associated with the article, we have our IRIS instance deployed in Docker, so the main part of the initial configuration will be done in the Dockerfile.
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Hi Community
This document mainly enriches the content of the previous article and introduces the use of the application.
Perhaps you have already read the previous article, but I still want to say,
After completing the initialization operation (including model creation and training), the Fhir HepatitisC Predict application then predicts HepatitisC
You need to input some information on the application, of course, only the results of some checks, not including privacy data.
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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.
Surely you have all heard about FHIR as the panacea and solution to all interoperability and compatibility problems between systems. Right here we can see one of his classic defenders holding a FHIR resource in his hand and enjoying it immensely:
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But for the rest of us mortals we are going to make a small introduction.
🔥 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.
With the development of technology, the medical industry is also constantly advancing, and humans often pay more attention to their own health,
By learning and processing datasets through computers, diseases can be predicted.