FHIR repositories, applications and servers typically serve clinical data in small quantities, whether to return data about a patient, their medications, vaccines, allergies, among other information. However, it is common for a large amount of data in FHIR/JSON format to be requested to be used to load into Data Lakes, identifying study cohorts, population health, or transferring data from one EHR to another. To meet these business scenarios that require large extractions and loads of data, it is recommended to use the FHIR Bulk Data Access feature provided by HL7 institution.
RabbitMQ is a message broker that allows producers (those who send a data message) and consumers (those who receive a data message) to establish asynchronous, real-time, and high-performance massive data flows. RabbitMQ supports AMQP (Advanced Message Queuing Protocol), an open standard application layer protocol. The main reasons to employ RabbitMQ include the following:
You can improve the performance of the applications using an asynchronous approach.
It lets you decouple and reduce dependencies between services, microservices, and applications with the help of a data message mediator, meaning that there is no need for producers and consumers of exchanged data to know each other.
It allows the long-running processing of sent data (with the results) to be delivered after utilizing a response queue.
It helps you migrate from monolithic to microservices, where microservices exchange data via Rabbit in a decoupled and asynchronous way.
It offers reliability and resilience by making it possible for messages to be stored and forwarded. A message can be delivered multiple times until it is processed.
Message queueing is the key to scaling your application. As the workload increases, you will only have to add more workers to handle the queues faster.
An effective source control solution allows organizations to manage complex codebases, facilitate seamless collaboration within development teams, and streamline deployment processes.
Sonic Healthcare, a leading provider of pathology, radiology, general practice, and corporate medical services, has significantly enhanced visibility and control over its complex environment by implementing Deltanji source control. The tight integration Deltanji provides with InterSystems IRIS and IRIS for Health has been central in achieving these improvements.
This demo program is used to show how a custom FHIR profile can be employed to validate data compliance. The custom FHIR implementation guide was developed based on FHIR Version R4, and in this example implements the Organization resource extension to validating data compliance.
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It is very common in the daily life of IRIS or Health Connect users that it is necessary to install new instances or update the ones they already have and in many cases it is not these same users who carry out the installation, but rather systems personnel who often do not take into account the particularities of the assignment of permissions necessary for the installation.
Every so often, I would encounter a request for some GPG support, so I had several code samples written for a while, and I thought to combine all of them and add missing GPG functionality for a fairly complete coverage. That said, this Business Operation primarily covers data actions, skipping management actions such as key generation, export, and retrieval as they are usually one-off and performed manually anyways. However, this implementation does support key imports for obvious reasons. Well, let's get into it.
When set true in JSON, or checked in the Settings Editor, a server-side file will be read-only if the source control class for the namespace reports that it is not editable.
I am accessing IRIS databases with JDBC (or ODBC) using Python. I want to fetch the data into a pandas dataframe to manipulate the data and create charts from it. I ran into a problem with string handling while using JDBC. This post is to help if anyone else has the same issues. Or, if there is an easier way to solve this, let me know in the comments!
I am using OSX, so I am unsure how unique my problem is. I am using Jupyter Notebooks, although the code would generally be the same if you used any other Python program or framework.
I want to share with you the lastest app that I have uploaded to the Open Exchange "IrisGoogleChat".
IrisGoogleChat is a utility for InterSystems IRIS that allows seamless message integration with Google Chat using Cache ObjectScript. This application provides a set of tools to configure Google Chat Channels, create messages powered by moods generated with AI and send them to a Google Chat Channel.
Let's go with the last article on how to record yourselves for the Article Contest video bonus.
I'm not going to go into how to do very specific things in editing because it varies depending on the program you use. The keyboard shortcuts and menus are different, but the concept is the same. You are going to use a programme to organise the recorded material, remove the excess and give it structure. Many of these softwares are free (Capcut, Canva and if I'm not mistaken DaVinci had a free version). I've been editing with Adobe Premiere for almost ten years now (wow, I'm getting old), so if you have any questions about this software, feel free to write to me.
In 2023, according to IDC, Salesforce's market share in CRM reached 21.7%. This company owns a substantial amount of critical corporate business processes and data, so the InterSystems IRIS must have an interoperability connector to fetch data from the Salesforce data catalog. This article will show you how to get any data hosted by Salesforce and create an interoperation production to get data and send it to such targets as files and relational databases.
The "Ask Developer Community AI" tool is an excellent resource for studying for the certification. I asked it about each topic that will be covered in the test and the results are below. Note: I classified each answer by the assertiveness that I consider as good, average and bad.
Note 2: The article has 4 parts, each one for an exam area.
After we rolled out a new cointainer based on containers.intersystems.com/intersystems/irishealth:2023.1 this week, we suddenly noticed that our FHIR Repository started responding with an Error 500. This turns out to be caused by PROTECT violations on the new HSSYSLOCALTEMP namespace and database used by this version of the IRIS for Health FHIR components.
My intention is to show how simple it is to generate a lookup table taking into account the information received in our HL7 messaging. The HL7 message lookup table provided by IRIS is certainly sufficient for most of the searches we want to perform, but we always have that special field in our HIS, LIS, RIS, etc. that we'd like to search by. But that's in a segment outside of that lookup table. That field forces us to generate a specific search using the expanded search criteria.
Artificial intelligence (AI) has transformative potential for driving value and insights from data. As we progress toward a world where nearly every application will be AI-driven, developers building those applications will need the right tools to create experiences from these applications. Tools like vector search are essential for enabling efficient and accurate retrieval of relevant information from massive datasets when working with large language models.
I attended Cloud Native Security Con in Seattle with full intention of crushing OTEL day, then perusing the subject of security applied to Cloud Native workloads the following days leading up to CTF as a professional excercise. This was happily upended by a new understanding of eBPF, which got my screens, career, workloads, and atitude a much needed upgrade with new approaches to solving workload problems.
So I made it to the eBPF party and have been attending clinic after clinic on the subject ever since, here I would like to "unbox" eBPF as a technical solution, mapped directly to what we do in practice (even if its a bit off), and step through eBPF through my experimentation on supporting InterSystems IRIS Workloads, particularly on Kubernetes, but not necessarily void on standalone workloads.
eBee Steps with eBPF and InterSystems IRIS Workloads
By default, the order of columns in a table is determined automatically by the system. To change the order, explicitly set the order for each property using the property keyword SqlColumnNumber when defining the class.
In this article, I will introduce my application iris-HL7v2Gen .
IRIS-HL7v2Gen is a CSP application that facilitates the dynamic generation of HL7 test messages. This process is essential for testing, debugging, and integrating healthcare data systems. The application allows users to generate a wide variety of HL7 message types, validate their structure against HL7 specifications, explore the message hierarchy, and transmit messages over TCP/IP to production systems. These features are particularly useful in settings where compliance with HL7 standards is mandatory for interoperability between different healthcare organizations or systems.
Application Features
Dynamic HL7 Message Generation: Instantly create HL7 messages for a range of message types, facilitating comprehensive testing.
Message Structure Exploration: Visualize the structure of generated messages based on HL7 specifications.
Value Set Visualization View predefined sets of allowable coded values for specific fields.
Message Validation: Validate messages against HL7 standards to ensure compliance.
TCP/IP Communication: Easily transmit messages to production using TCP/IP settings.
Broad Message Type Support: Supports 184 different HL7 message types, ensuring versatility for various healthcare integration needs.
ClassMethod: Generate a Test Message by Invoking a Class Method
Version Support: Currently Supports HL7 Version 2.5
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