Hi Community!
We’re pleased to announce that several Early Access Programs (EAPs) are now open for registration. These programs provide developers with the opportunity to explore upcoming features and technologies from InterSystems before their general release.
By joining an EAP, you can:
- Evaluate and test new functionality
- Provide direct feedback to product teams
- Help shape the future direction of InterSystems platforms
If you're interested in contributing to the evolution of our tools and getting early insight into what's coming next, we encourage you to review the following available programs and sign up:
| Name | Description |
|---|---|
| FHIR Application Training Course | InterSystems is developing a comprehensive FHIR application development course. The course will consist of 40 hours of recorded video content, numerous GitHub repositories, interactive quizzes, and supplementary material. The course will be targeted at FHIR application developers and will use the InterSystems IRIS for Health Community Edition with application development in Python. |
| Health Connect - AI Copilot for DTL Explanations | Uses generative AI to provide human-readable summaries for Data Transformation Language (DTL) logic. This reduces onboarding time for new interface developers, accelerates troubleshooting, and makes it easier for non-experts to understand and maintain complex data transformations. |
| Health Connect - DTL Assistant Copilot for HL7 Transformations | Introduces AI-powered mapping assistance that suggests transformations, auto-generates mappings, and helps enforce standards between HL7 message formats. This assistant shortens development cycles, reduces errors, and increases team productivity by lowering the technical barrier to working with HL7. |
| Health Connect - CDA Validation | Enables robust validation of Clinical Document Architecture (CDA) files against standards and rules, improving data integrity and compliance.This tool helps organizations detect structural and content-related issues early, ensuring smoother data exchange and regulatory readiness. |
| Health Data De-Identifier | Health Data De-identifier is a configurable framework to de-identify structured clinical data. It incorporates HIPAA Safe Harbor rules for the US but provides hooks to be adjusted for regional requirements. |
| InterSystems Data Studio Virtual Assistant module | InterSystems Data Studio (IDFS) simplifies data management and exploration. With its Virtual Assistant module, users gain access to interactive assistants that help them understand, navigate, and leverage their data more effectively. Built on an agentic framework, IDFS supports reasoning, diagnostics, evaluation, and governance capabilities. Users can also design custom assistants and agents that are enriched with specialized knowledge and memory for context-aware interaction. |
| InterSystems Data Studio with Health Module | Provides a fully managed, self-service platform for provisioning trusted healthcare datasets, data models for analytics, AI models, and operational reporting. It includes out-of-the-box business connectors, pipeline building, and data catalog modeling capabilities. |
| InterSystems IRIS Security Database | This new feature provides greater security by moving sensitive data from IRISSYS to a new database: IRISSECURITY. An additional security role has been added to restrict access to this data. |
| OAuth2 Authentication/Authorization | InterSystems is making it easier for customers to use and configure OAuth2. |
| Online Backup | With Online Backup, InterSystems IRIS automatically tracks which blocks change, such that it can easily create incremental backups of your data without freezing or otherwise interrupting regular operations. In InterSystems IRIS 2024.1, the first part of a significant overhaul of this capability is now available for your evaluation, bringing orders-of-magnitude faster backup and restore operations compared to the original version. If you are using or considering Online Backup today, please join the Early Access Program to receive updates and share your feedback. |
| Table Partitioning | Table Partitioning helps users manage large tables efficiently by enabling them to split the data across multiple databases based on a logical scheme. This enables, for example, moving older data to a database mounted on a cheaper tier of storage, while keeping the current data that is accessed frequently on premium storage. The data structure for partitioned tables also brings several operational and performance benefits when tables get very large (> 1B rows). |
Participation may be limited, so we recommend registering early if you're interested. If you have any questions, please don't hesitate to ask them in the comments or send an email to EarlyAccess@InterSystems.com.