#InterSystems Business Solutions and Architectures

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This topic unites publications, which describe business ideas and approaches, success stories, architectures, and demos of solutions you can create, build, and implement with InterSystems products: InterSystems IRIS, InterSystems IRIS for Health, HealthShare, Caché, and Ensemble. 

Introduction

To achieve optimized AI performance, robust explainability, adaptability, and efficiency in healthcare solutions, InterSystems IRIS serves as the core foundation for a project within the x-rAI multi-agentic framework. This article provides an in-depth look at how InterSystems IRIS empowers the development of a real-time health data analytics platform, enabling advanced analytics and actionable insights. The solution leverages the strengths of InterSystems IRIS, including dynamic SQL, native vector search capabilities, distributed caching (ECP), and FHIR interoperability. This innovative approach directly aligns with the contest themes of "Using Dynamic SQL & Embedded SQL," "GenAI, Vector Search," and "FHIR, EHR," showcasing a practical application of InterSystems IRIS in a critical healthcare context.

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I would like to learn about the binary and document reference FHIR Resources. For the PDF data stored in those resources. But I think Binary Resource for the Document PDF stored in FHIR, so this resource is best for it. So sometimes Large PDF 15-page (~35md) data converts into base64 then data length is ~50 lac charecters length of base64binary data. this data store in Binary Resource on data field https://www.hl7.org/fhir/R4/binary.html follow this url this resource used in my case.

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For those that use IRIS for Health, HealthShare, and or Health Connect...

As Health Applications are moving to the Cloud, how have you handled communication from the Application to your instances via HTTPS?

Trying to figure out the best path on designing the proper workflow to allow these messages to be allowed to be eventually sent to our EMR to post to the patient chart.

We are very wary of opening a connection from the internet to our instance of Health Connect.

Thanks

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I try the Large data Save in FHIR server in Binary Resource but it's failed

Methed: Post , URL: fhirservers/fhir/r4/Binary

I hit the API but the record not save and same API but base64 data length is 3 lac than it's save without faile.

I pass data on this formet

{

"resourceType" : "Binary",

// from Resource: id, meta, implicitRules, and language

"contentType" : "<code>", // R! MimeType of the binary content

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