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Digital health solution providers face increasing pressure to integrate complex health data systems while ensuring scalability, security, and compliance with standards like HL7 FHIR. Fast Healthcare Interoperability Resources (FHIR) has revolutionized health data exchange by offering a standardized framework that allows diverse health IT systems to communicate effortlessly. But simply adhering to FHIR standards isn’t enough to overcome the intricacies of health data integration. Solution partners must leverage advanced architectural components like FHIR brokers, façades, and repositories to build scalable and efficient solutions. InterSystems offers all the essential features you need to implement FHIR for your health data, whether on-premises, in a public cloud, or as a cloud-based service managed by InterSystems.

Medical Science Hospital Lab Meeting healthcare

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Hello, dear colleagues.

I need to connect to a remote JavaGateway from an Ensemble service.

I am trying to use the EnsLib.JavaGateway.Service with a remote host where the JVM is running.

I can successfully ping the remote Java Gateway from EnsLib.JavaGateway.Service, and Ensemble reports that the service status is OK.

There are no network issues, and all necessary ports are accessible.

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We're excited to announce the first-ever UI update for CCR Client Tools. The Client Tools UI has been upgraded to match the modern CCR UI, aiming to create a more seamless experience across both applications. The color scheme, fonts, and style elements have all been updated accordingly in the new UI:

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Question
· Jan 7
xDBC error

Hi.

How can I prevent the error:

2024-12-27 08:05:46 [SQLCODE: <-400>:<Fatal error occurred>] [Error: <<READ>XDCall+9^%SYS.DBSRV>] [Location: <$system.IO server loop>] [Client info: <Username: Operator, Node Name: PM_MIP_SRD01, IP Address: 10.40.1.108, Executable Name: Operative.dll, Internal Function: KÂ>] [%protocol: <65>] $Id: //iris/2023.2.0/kernel/common/src/sysio.c#2 $ 3514 121

It seems that this error occours when connection on PDA is lost and established again.

Tnx.

Regards,
Matjaž

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Modern data architectures utilize real-time data capture, transformation, movement, and loading solutions to build data lakes, analytical warehouses, and big data repositories. It enables the analysis of data from various sources without impacting the operations that use them. To achieve this, establishing a continuous, scalable, elastic, and robust data flow is essential. The most prevalent method for that is through the CDC (Change Data Capture) technique. CDC monitors for small data set production, automatically captures this data, and delivers it to one or more recipients, including analytical data repositories. The major benefit is the elimination of the D+1 delay in analysis, as data is detected at the source as soon as it is produced, and later is replicated to the destination.

This article will demonstrate the two most common data sources for CDC scenarios, both as a source and a destination. For the data source (origin), we will explore the CDC in SQL databases and CSV files. For the data destination, we will use a columnar database (a typical high-performance analytical database scenario) and a Kafka topic (a standard approach for streaming data to the cloud and/or to multiple real-time data consumers).

Overview

This article will provide a sample for the following interoperability scenario:

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Introduction

Businesses often use in-memory databases or key-value stores (caching layers) when applications require extremely high performance. However, in-memory databases incur a high total cost of ownership and have hard scalability limits, incurring reliability problems and restart delays when memory limits are exceeded. In-memory key-value stores share these limitations and introduce architectural complexity and network latency as well.

This article explains why InterSystems IRIS™ data platform is a superior alternative to in-memory databases and key-value stores for highperformance SQL and NoSQL applications.

Taking Performance and Efficiency to the Next Level

InterSystems IRIS is the only persistent database that can match or beat the performance of in-memory databases and caching layers for concurrent data ingestion and analytics processing. It can process incoming transactions, persist the data to disk, and index it for analytics in under one microsecond on commercially available hardware without introducing network latency.

The superior ingest performance of InterSystems IRIS results in part from its multi-dimensional data engine, which allows efficient and compact storage in a rich data structure. Using an efficient, multi-dimensional data model with sparse storage techniques instead of two-dimensional tables, random data access and updates are accomplished with very high performance, fewer resources and less disk capacity. It also provides in-memory, in-process APIs in addition to traditional TCP/IP access APIs to optimize ingest performance.

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Hi Community,

Are you already InterSystems certified, or thinking about taking that next step?

InterSystems certification is a great way to showcase your skills and open new doors—but we'll let our certification holders speak for themselves:

https://www.youtube.com/embed/-o6q0Ty3l3o?si=oBczPSKodOkzg_Jw
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img

This will be a short article about Python dunder methods, also known as magic methods.

What are Dunder Methods?

Dunder methods are special methods in Python that start and end with double underscores (__). They allow you to define the behavior of your objects for built-in operations, such as addition, subtraction, string representation, and more.

Some common dunder methods include:

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I am making a FHIR request against Epic, in when I get the Response back using "fromDao" I am extracting the stream into HS.FHIRModel.R4.Patient. However, the patient's name comes back as name within a list that references HS.FHIRModel.R4.SeqOfHumanName.

  • How do I extract the name from HS.FHIRModel.R4.SeqOfHumanName?
  • Do I have to then do another "fromDao" to pull the list into string format?
  • How do I navigate around the lists that are in a FHIRModel response, to extract the string values?
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Securing IRIS Integrations with Mutual TLS (mTLS): A Practical Guide

In today’s enterprise environments, secure communication between systems is not optional—it’s essential. Whether you're integrating InterSystems IRIS with cloud APIs, internal microservices, or third-party platforms, Mutual TLS (mTLS) offers a powerful way to ensure both ends of the connection are authenticated and encrypted.

This post walks through how to configure IRIS for mTLS and how to validate your certificates to avoid common pitfalls.

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Hey Community,

Enjoy the new video on InterSystems Developers YouTube:

⏯ SMART on FHIR: OAuthServer

https://www.youtube.com/embed/rkOAGBY1yUw
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If you're migrating from Oracle to InterSystems IRIS—like many of my customers—you may run into Oracle-specific SQL patterns that need translation.

Take this example:

SELECT (TO_DATE('2023-05-12','YYYY-MM-DD') - LEVEL + 1) AS gap_date
FROM dual
CONNECT BY LEVEL <= (TO_DATE('2023-05-12','YYYY-MM-DD') - TO_DATE('2023-05-02','YYYY-MM-DD') + 1);

In Oracle:

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Hey Community!

We're happy to share the next video in the "Code to Care" series on our InterSystems Developers YouTube:

⏯ How Project BEST Transforms FDA Adverse Event Reporting with FHIR

https://www.youtube.com/embed/7w5Nx3khqCE
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Hi Community,

Let's meet at the online meetup with the winners of the AI Programming Contest: Vector Search, GenAI and AI Agents! It's a great opportunity to chat with the InterSystems Experts team and our contestants.

Winners' demo included!

Date & Time: Thursday, April 10, 12:00 pm EDT | 6:00 pm CEST

https://www.youtube.com/embed/wRuuKtYSU74?si=v0YREzoZ15gMqEz_
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Hello again IRIS community,

We have officially released our InterSystems IRIS Developer Professional certification exam for beta testing. The beta test will be available until April 20, 2025. As a beta tester, you have the chance to earn the certification for free!

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