Early Access Program

Thank you for your interest in the InterSystems Early Access Programs (EAP). By signing up, you are expressing interest in participating in one or more of our active EAPs and agree to be contacted so we can provide more information and requirements for the EAP(s) you register for.

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 Fabric Studio Virtual Assistant module
InterSystems Data Fabric 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 Fabric 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).