#InterSystems Natural Language Processing (NLP, iKnow)

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InterSystems IRIS Natural Language Processing (NLP), formerly known as iKnow, allows you to perform text analysis on unstructured data sources in a variety of natural languages without any prior knowledge of their content. It does this by applying language-specific rules that identify semantic entities. Because these rules are specific to the language, not the content, NLP can provide insight into the contents of texts without the use of a dictionary or ontology. Learn more.

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 am trying to help another group within our organization access a SQL Table that I have created to populate Epic Department Data within our environment and came across the ability to use SQL Seach REST Interface using iKnow.

However, I am having issues trying to get it to work via POSTMAN before I hand off the solution...

the POST URL... https://<servername>/api/iKnow/latest/TESTCLIN/table/osuwmc_Epic_Clarity.DepartmentMaster/search

where osuwmc_Epic_Clarity.DepartmentMaster is the table

In the body...

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