Sometimes it is more convenient, more efficient, and more secure, to limit FHIR Searches per pre-defined "Lists" of Resources.

Since v2025.1 we support several List-related features in our FHIR Server.

I will highlight these here, and provide some samples.

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Embeddedpy-bridge: A Toolkit for Embedded Python

Overview

Embedded Python is a game-changer for InterSystems IRIS, offering access to the vast Python ecosystem directly within the database. However, bridging the gap between ObjectScript and Python can sometimes feel like translating between two different worlds.

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What is a FHIR Profile?

A FHIR profile is a collection of rules and constraints used to customize and refine a base Fast Healthcare Interoperability Resources (FHIR) resource. Profiling is a vital process that adapts the base FHIR resource standard to satisfy the unique requirements of a specific use case, geographic region, medical institution, or clinical workflow.

While the base FHIR specification provides generic, flexible definitions for resources (such as Patient, Observation, or Medication), profiles transform these generic resources into more precise ones. This ensures consistent and interoperable data exchange tailored for a particular community or implementation.

FHIR is designed to cover various healthcare scenarios globally. Profiles allow implementers to adapt this general platform without losing the benefits of standardization.

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When working with InterSystems Interoperability (Iris / Health Connect / Ensemble), configuration data is often spread across many production items: services, processes, operations, adapters, and their settings.

A common operational or security need is to answer questions like:

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Needs some help with FHIR return code 200 or 201 when processing HL7 messages in HealthConnect.

Issue:

1. If FHIR code is 200 or 201, HealthConnect keep processing HL7 messages

2. If FHIR code is NOT 200 or 201, HealthConnect keep suspend the HL7 messages in the messages queue, then keep processing NEXT subsequent HL7 messages in the TEXT file if the FHIR code is 200 or 201

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InterSystems IRIS is built on an architecture that separates the logical organization of data (namespaces) from its physical storage location (databases). Understanding this separation and the distinction between Namespaces and Databases is crucial for effective data management, security, and especially, high-performance data sharing.

In this article, I will discuss these foundational components and provide a practical guide on leveraging global mappings to share native data structures (globals) across different logical environments.

Databases: Physical Reality

A database represents the physical reality of where the data is stored on the disk. First and foremost, it’s a file in a file system called IRIS.dat (e.g., <Install folder>\mgr\user\IRIS.DAT). The maximum size of this file is 32TB. It is the container for all the actual data and the code. Databases are managed by the IRIS kernel, which handles caching, journaling, and transaction logging at the physical file level.

When you install InterSystems IRIS DBMS, the following databases are installed automatically:

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Hi, I have simple email alert setup (EnsLib.EMail.AlertOperation) where in operations I have SMTP server setup and Recipients emails.

Also I find Alert Groups dropdown option in operations, processes, how this is different from setting up simple email alert with recipients list?

Please advise.

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