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Rapid Health Innovation with the InterSystems FHIR Server

For Faster Healthcare App Development

data points over a city skyline

The InterSystems FHIR® Server provides high-performance FHIR storage, searching, and analytics capabilities for healthcare applications. Whether you’re creating clinical patient apps with SMART on FHIR, or developing backend services handling bulk data, you can bring them to market faster using the InterSystems FHIR Server, with absolute confidence in the availability, speed, and reliability of your data store.

Evolving market needs have created new opportunities for innovation in healthcare sectors globally. Patient access and engagement, clinical decision support, social determinants of health, population health and research have all benefitted from FHIR and are being used daily to drive better outcomes. Regulatory incentives have provided greater API support and development frameworks to integrate with major health data producers, such as EHRs, QHINs, and health applications. The InterSystems FHIR Server provides the data and integration capabilities needed to connect directly to these providers, build cutting-edge solutions, and start innovating within minutes.

InterSystems IRIS FHIR Server Features

  • Easy-to-deploy FHIR Servers supporting STU3, R4, and R5 FHIR versions and packages.
  • Advanced search capabilities and built-in resource operations.
  • Extensive SMART on FHIR support, including custom scope validation, capabilities discovery, and OAuth client setup.
  • Bulk FHIR Exchange features to query external EHRs, FHIR servers, and data platforms and import FHIR resources directly to your repository.
  • Advanced analytics modelling with the FHIR SQL Builder; transforming FHIR resources into a fully relational, customizable model.
  • Data quality checks with a built-in FHIR profile validator and referential integrity enforcement on bulk imports.
  • FHIR profile and package support for national core (US, UK, FR, IL, AU, etc.) implementations, Da Vinci, CARIN BB, CareConnect, and many more.
  • Easy configuration with external OAuth 2.0 servers (Okta, Ping, Google Identity, Azure AD, and others)
  • Exceptional high availability and disaster recovery.

female doctor scrolling on a tablet

Analytics at Scale

The InterSystems FHIR Server provides industry-leading analytical modeling features with InterSystems FHIR SQL Builder. By dynamically analyzing the FHIR server contents, users can define custom transformations into a fully relational model, directly querying their FHIR server with standard BI tools such as PowerBI or Tableau. Real-time dash-boarding for operational analytics, clinical research, population health reporting, and clinical quality measures can be built at the source.

Bulk Access and Connectivity

InterSystems FHIR Server enables you to quickly connect and schedule interactions with EHRs, external FHIR servers, and cloud services to import bulk FHIR resource exports. With support for OAuth2 and SMART on FHIR flows, it is extremely simple to query, ingest and analyze data from EHRs, medical devices, and SMART on FHIR applications. If you require a robust enterprise-grade server, InterSystems FHIR Server provides the tools to unleash your data.

Certified Security Supporting HIPAA and GDPR

The InterSystems FHIR Server infrastructure is certified on ISO-27001:2022, ISO-22000-1, ISO 22301, and SOC 2 and is managed by InterSystems Managed Services through processes developed using the HITRUST Common Security Framework.

Egyéb Források, Amelyek Tetszhetnek

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AMIA Webinar
Healthcare organizations are investing rapidly in AI, but many efforts remain fragmented across applications, data pipelines, and workflows. This makes it difficult to govern AI consistently, evaluate results in context, and build the trusted foundation needed for enterprise adoption.
Sep 25, 2026
White Paper
Independent Research Study of InterSystems IntelliCare at EMC Healthcare
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The future of healthcare will be shaped by whether AI fits naturally into clinical work, whether clinicians trust it, whether governance makes adoption safer, and whether outcomes can be measured in real healthcare environments.
Sep 23, 2026
A Technical Architecture for Interoperable, AI-Ready Healthcare Data Platforms
A Data Platform Built for Healthcare Complexity
Sep 21, 2026
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Dr. Emeline Ramos speaks with MIT researcher Dr. Angelica Marotta about how artificial intelligence is beginning to transform healthcare delivery—not by replacing clinicians, but by helping them spend less time at the computer and more time with patients. Drawing on research from a hospital AI deployment, the conversation explores how generative AI can reduce documentation burden, improve communication, increase eye contact, and support better clinical workflows while reinforcing the importance of trust, risk management, and keeping humans in the loop. Watch the video to hear practical insights for healthcare leaders, clinicians, and technology teams navigating the next phase of AI adoption.
Jul 22, 2026
Proven and Trusted
The Gold-Standard Partner for International Expansion
Jul 20, 2026
Fundamentals
Agentic AI architecture assigns specialized AI agents to distinct tasks so the combined result outperforms any single model. Learn core components, patterns, and decision frameworks.
Jun 15, 2026
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HIMSS Market Insights Survey Reveals Healthcare Leaders’ Data Priorities
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HIMSS Market Insights Study
Healthcare’s AI Ambitions Face a Data Reckoning
Jun 11, 2026
Healthcare Providers
When emergency clinicians have the right information at the right time, patients benefit. My Emergency Doctor is transforming access to specialist emergency care for hospitals across Australia, connecting clinicians, patients, and critical health information wherever it is needed.

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