New and Enhanced Features for InterSystems IRIS for Health 2020.3
This document describes the new and enhanced features in the 2020.3 release of InterSystems IRIS for Health™, which is a continuous delivery release. The enhancements in this release provide improved FHIR client APIs, improved HL7 migration tools, and features that make it easier to develop and deploy real-time, machine learning-enabled applications that bridge data and application silos.
Enhancements that Improve Health Interoperability and HL7 Migration Tooling
This release provides the following enhancements to the health-related features:
New APIs for sending and receiving FHIR request/response messages, allowing your application to perform client-side FHIR operations. For more details, see FHIR Clients.
eGate Support in the HL7 Migration Tooling. Migrates transformation logic from the eGate interface engine to InterSystems IRIS for Health. For more details, see HL7 Migration Tool.
Enhancements that Improve Deployment and Operations Experience
This release provides the following enhancements to the deployment and operations experience, both in the cloud and on-premises:
Configuring a Kubernetes cluster is much easier with the new InterSystems Kubernetes Operator (IKO). See “Using the InterSystems Kubernetes Operator.”
The InterSystems Cloud Manager (ICM) adds support for InterSystems API Manager deployments. See “Deploying InterSystems API Manager.”
Asynchronous mirroring support for sharded clusters.
You can now manage Work Queues from the System Management Portal.
Enhancements that Improve Developer Experience
This release provides the following enhancements to the developer experience, including new facilities, higher performance, and compatibility with recent versions of key technology stacks:
Python Gateway — This release extends the dynamic object gateway to allow you to call Python code from ObjectScript and provides forward and reverse proxy access to Python objects. In previous releases, the dynamic object gateway only supported calls to Java and .NET.
Support for JDBC and Java Gateway reentrancy.
.NET Gateway now supports .NET Core 2.1.
XEP adds support for deferred indexing and indexes can be built as a background process. See “ Controlling Index Updating . ”
Support for Spark 2.4.4.
IntegratedML Machine Learning
This is the first InterSystems IRIS for Health release that includes IntegratedML, a new feature that brings “best of breed” machine learning to analysts and developers via simple and intuitive SQL syntax. Developers can now easily train and deploy powerful predictive models from within IRIS, right where their data lives. For details, see Using IntegratedML and Learn IntegratedML in InterSystems IRIS.
For this release:
• Community Edition containers are also available from Docker Hub.
• Kits (and container tarballs) are available from the WRC Software Distribution site.
Full installation kits are provided for a subset of server platforms on the WRC, which will give customers who do not use containers the option to use IntegratedML now, with the option to upgrade to the 2021.1 Extended Maintenance release.
Other Enhancements and Efficiency Improvements
In each release, InterSystems makes many efficiency improvements and minor enhancements. In this release these improvements include:
You can use TSQL through JDBC.
Node.js Native API now includes the List class. See “ Native API Quick Reference for Node.js . ”
Java Messaging Service (JMS) adapter is able to connect to a broader range of servers.
InterSystems IRIS on Linux has been enhanced to use Asynchronous I/O for writes to database files, as it always has on all UNIX® and Windows platforms. This is coupled with automatic use of direct I/O instead of buffered I/O. This change optimizes the disk I/O characteristics for database files in the following ways:
Improves application responsiveness at higher scaling levels by more fairly sharing I/O bandwidth with database reads and journal writes.
Improves integrity check performance by allowing integrity check to read multiple blocks asynchronously.
Improves effectiveness of asynchronous reads performed by $prefetchon.
Continuous Delivery Releases of InterSystems IRIS for Health
InterSystems IRIS for Health 2020.3 is a continuous delivery release. There are now two streams of InterSystems IRIS for Health releases:
Extended maintenance (EM) releases — These are annual releases and provide maintenance releases. These releases are ideal for large enterprise applications where the ease of getting fixes in maintenance releases is more important than getting early access to new features.
Continuous delivery (CD) releases — These are quarterly releases provide that access quickly to new features and are ideal for developing and deploying applications in the cloud or in local Docker containers.
The quarterly schedule of continuous delivery releases reduces the time between when a customer requests a feature and we deliver it to them. Having regular schedules for both the continuous delivery releases and the major extended maintenance releases provide customers with a predictable schedule that helps them plan and schedule updates.
Continuous delivery releases are provided in container format and are available on Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure, Docker Hub, and the InterSystems WRC download site. You can run a continuous delivery release on any of these cloud platforms or a local system using Docker container. InterSystems does not provide maintenance releases for continuous delivery releases, but instead fixes issues in subsequent continuous delivery releases.
The extended maintenance releases are provided on all Supported Platforms Guide, including UNIX®, Windows, the cloud platforms, and the Docker container.
If your application runs on a non-container platform, you can only use an extended maintenance release for that application but can consider using the continuous delivery releases for:
Evaluating new features and testing your custom code — this will reduce your upgrade costs when you upgrade to the next extended maintenance major release.
Using it for new projects that can be deployed in the cloud or in local containers.
In addition to providing fully-suppported releases, InterSystems provides access to prerelease software for developers who want to get an early look at new features.