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
The fhir-react project defines a unique component which renders the interface based on FHIR resource type. There's no need for any configuration because the library uses the standard of defined by the resource type.
So, I decided to apply the same idea, but for charts. The basic idea is depicted below:
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.
In my previous articles, one of the most exciting things about FHIR that I mentioned it's the wide range of possibilities that we have and not only for creating something but the ways to achieve this goal.
NLP stands for Natural Language Processing which is a field of Artificial Intelligence with a lot of complexity and
techniques to in short words "understand what are you talking about".
And FHIR is...???
FHIR stands for Fast Healthcare Interoperability Resources and is a standard to data structures for healthcare. There are
some good articles here explainig better how FHIR interact with Intersystems IRIS.
I want to share my experience creating the iris-fhir-portal with FHIR.
I decided to take a step forward and join the IRIS for Health FHIR contest, but I had never worked with FHIR before.
After the FHIR Contest Kick-Off Webinar, where we got an overview of how the IRIS for Health works with FHIR, I started to looking at the FHIR documentation to create my Patient Chart project.
Recently, I get interest in FHIR in order to run for the IRIS for Health FHIR
contest. As a beginner on this topic, I've heard somewhat about it, but I didn't know how complex and powerful was FHIR. As pointed out by @Henrique.GonçalvesDias here, you can model several aspects of the patient history and other related entities.
InterSystems IRIS for Health™ includes several features that aid in healthcare interoperability including routing, support for standard data formats such as HL7v2, FHIR, CDA, a data transformation user interface, and easy integration with other systems such as for terminology services.
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I need to add some extensions to the HS.FHIR.vSTU3,Model.Resource.Patient class and then use those extensions to convert incoming FHIR JSON to the FHIR Patient Resource and Likewise add functionality to create A FHIR Patient (target class) from my patient database into the FHIR Patient Resource Object (target class)
many months ago I found a tutorial that explained all of this but can no longer find that tutorial.
InterSystems FHIR contest has been started and in this post, I want to introduce several topics you may find interesting and use to build FHIR applications with InterSystems IRIS for Health.
Amongst them are:
a frontend mobile or web app for FHIR server FHIR REST API or SQL;
Backend apps to perform complex queries and maintain rules;
In the past, reading information from a bar code was limited to a simple alphanumeric code. The creation of a bar code with more than one dimension (2D), especially the QR Code, allowed to increase the amount and variety of data stored in a bar code. While conventional bar codes are capable of storing a maximum of approximately 20 digits, the QR Code is capable of handling several tens to hundreds of times more information. This revolutionized the markets. Now QR codes are everywhere and can be very useful for storing textual, numeric, alphanumeric and even binary data.
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This video covers the most common types of queries used to search for FHIR resources in InterSystems IRIS for Health™, and shows how and when to use each type of query in your application.
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In this InterSystems IRIS2020.1 Tech Talk, we’ll focus on using InterSystems Managed FHIR Service in the AWS Cloud. We’ll start with an overview of FHIR, which stands for Fast Healthcare Interoperability Resources, and is a next generation standards framework for working with healthcare data.
You'll learn how to:
provision the InterSystems IRIS FHIR server in the cloud;
integrate your own data with the FHIR server;
use SMART on FHIR applications and enterprise identity, such as Active Directory, with the FHIR server.
We will discuss an API-first development approach using the InterSystems IRIS FHIR server. Plus, we’ll cover the scalability, availability, security, regulatory, and compliance requirements that using InterSystems FHIR as a managed service in the AWS Cloud can help you address.
As promised, here is Part 2 of our interview with Russ Leftwich! In this half, Adam Coppola talks with Russ about some of the InterSystems technologies that play a part in the concepts from Part 1, as well as some specific discussions about modern FHIR applications. After the interview with Russ, we were also joined by Jenny Ames to talk about the upcoming FHIR Dev Days. Check it out, and make sure to go subscribe to Data Points!
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In Episode 8 of Data Points, senior clinical advisor for interoperability at InterSystems @Russ Leftwich joined the podcast to talk about healthcare interoperability standards. In the first part of our two-part interview, Russ tells us about the history of healthcare standards and electronic record-keeping, some of the biggest challenges in the field, and how software has evolved to meet those ever-growing challenges.
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