#InterSystems Demo Games entry


⏯️ Health Evolve: Transforming Unstructured Data

Did you know that 80% of healthcare data is stuck in unstructured formats such as fax? If you take a walk down to Mass General in Boston, you'll literally see a state-of-the-art MRI machine next to a fax machine. Healthcare keeps building incredible new technology but can't let go of legacy technology. We call this the "legacy modernization paradox". This short film follows a care manager at Blue Plan who spends her days doing chart reviews, reading faxes line-by-line, struggling to provide her members the care they need. Everything changes when Blue Plan pilots InterSystems Health Evolve, a solution that transforms her faxes into machine-readable FHIR data ready for AI and analysis. To access our fully working Text-to-FHIR prototype, visit HealthEvolve.de.

Presenters:
🗣 @Vishal Pallerla, Sales Architect, InterSystems
🗣 @Erica Song, Sales Engineer, InterSystems
🗣 @Louis Kabelka, Sales Engineer, InterSystems
🗣 Zelong Wang, Sales Engineer, InterSystems
🗣 John Murtha, Health Plan Executive, InterSystems

https://www.youtube.com/embed/FcL1u3Ir0jM
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#InterSystems Demo Games entry


⏯️ Being READY to Tackle Healthcare Enterprise Challenges in a Few Clicks

Managed Cloud Solutions to Help Streamline Your Health Services.

This demo showcases composing several InterSystems Managed Cloud Services to solve various use-cases.

The video is actually built of 6 short chapters (each ~2.5 minutes long) showing each part of the story, demoing a different service.

You can watch each "chapter" individually if you're interested in a specific service, but there is value in viewing the whole composition and observing the full flow.

  • 0:00 Health Connect Cloud - Medical Device MQTT - HL7v2 for Hospital Operation Systems
  • 2:29 FHIR Server & FHIR Transformation Service - HL7v2 to FHIR & Repository for Regulation & Exchange
  • 5:21 FHIR SQL Builder - Providing standard relational access to FHIR data
  • 7:22 "FHIR IntelliChat" (see note below) - Natural human language chat with FHIR Server
  • 9:37 OMOP Solution - FHIR to OMOP transformation & OMOP database with OHDSI tools compliance
  • 12:54 InterSystems Data Fabric Studio for Health - Creating a multi data/app sources fabric

[Note the "FHIR IntelliChat" part is not an actual formal InterSystems service, it is just a demonstration of a possibility (based on this solution by @José Pereira) ]

Presenters:
🗣 @Tani Frankel, Sales Engineer Manager, InterSystems
🗣 @Keren Skubach, Senior Sales Engineer, InterSystems
🗣 @Ariel Glikman, Sales Engineer, InterSystems

https://www.youtube.com/embed/MM7GS4z3W5Y
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#InterSystems Demo Games entry


⏯️ AI Smart Data Fabric

Shows how IRIS for Health can supercharge AI development with a Smart Data Fabric to train and feed their AI Models.

Presenters:
🗣 @Kevin Kindschuh, Senior Sales Engineer, InterSystems
🗣 @Jeffrey Semmens, Sales Engineer, InterSystems

https://www.youtube.com/embed/NEobey9l488
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I had a need for a Filter, but did not want to recreate the wheel by creating another Data Lookup Table, so instead I created a Linked Table that points to a MS SQL Table outside of IRIS.

Once I had the Linked Table, I created a Class Method Function that would query the Linked Table and return a 1 if a result came back.

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I am regularly contacted by customers about memory sizing when they get alerts that free memory is below a threshold, or they observe that free memory has dropped suddenly. Is there a problem? Will their application stop working because it has run out of memory for running system and application processes? Nearly always, the answer is no, there is nothing to worry about. But that simple answer is usually not enough. What's going on?

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I have a need to create a specific Search Table outside of the EnsLib.HL7.SearchTable specifically for HL7 MFN messages in HealthShare Provider Directory.

Our Code is created in a different namespace then the main HSPD namespace and is mapped within the HSPD namespace mapping.

I created a copy of EnsLib.HL7.SearchTable, named OSU.HL7.SearchTable what all needs mapped to make this new search table available in HSPD namespace?

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Interoperability on Python (IoP) is a proof-of-concept project designed to showcase the power of the InterSystems IRIS Interoperability Framework when combined with a Python-first approach.IoP leverages Embedded Python (a feature of InterSystems IRIS) to enable developers to write interoperability components in Python, which can seamlessly integrate with the robust IRIS platform. This guide has been crafted for beginners and provides a comprehensive introduction to IoP, its setup, and practical steps to create your first interoperability component. By the end of this article, you will get a clear understanding of how to use IoP to build scalable, Python-based interoperability solutions.

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While starting with Intersystems IRIS or Cache, developers often encounter three core concepts: Dynamic Objects, Globals & Relational Table. Each has its role in building scalable and maintainable solutions. In this article, we'll walk through practical code examples, highlight best practices, and show how these concepts tie together.

1. Working with Dynamic Objects:

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Using a WSDL and the SOAP wizard I created a WebServiceClient, and Operation to send an encoded message to a Vendor. But the vendor is now sending back an HL7 in the SOAP response.

I tried updating the Operation to Extend EnsLib.HL7.Operation.ReplyStandard, but still use the EnsLib.SOAP.OutboundAdapter. When I did this it broke my Operation and would not compile with the following error...

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This article outlines the process of utilizing the renowned Jaeger solution for tracing InterSystems IRIS applications. Jaeger is an open-source product for tracking and identifying issues, especially in distributed and microservices environments. This tracing backend that emerged at Uber in 2015 was inspired by Google's Dapper and Twitter's OpenZipkin. It later joined the Cloud Native Computing Foundation (CNCF) as an incubating project in 2017, achieving graduated status in 2019. This guide will demonstrate how to operate the containerized Jaeger solution integrated with IRIS.

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#InterSystems Demo Games entry


⏯️ Introducing InterSystems Go tHE DIStance

InterSystems Go tHE DIStance is a next-generation care management solution aimed at helping health plans address rising unmanaged healthcare costs and declining quality ratings, particularly in chronic condition management like diabetes. The platform integrates rich, real-time clinical data (rather than relying solely on delayed claims data) into interactive views that can track HEDIS performance, identify care gaps, and support targeted, personalized outreach through built-in communication tools. Care managers can access a unified clinical record, engagement history, and recommended next actions to improve both individual patient outcomes and broader population health.

Presenters:
🗣 @Jess Jowdy, Manager of Healthcare Sales Engineering, InterSystems
🗣 @Jimmy Carney, Team Lead of Emerging Markets & SMB Sales Engineering, InterSystems
🗣 @Clayton Lewis, Senior Technical Specialist, InterSystems

https://www.youtube.com/embed/j54iH6UVW8g
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#InterSystems Demo Games entry


⏯️ MyVitals: Connecting Wearable Health Data to EHRs with InterSystems

MyVitals is a Personal Health Device Hub that bridges the gap between wearable health devices and clinical workflows. In this demo, we show how healthcare organizations can enroll patients, collect real-time data from personal devices via mobile apps, and seamlessly integrate that information into EHR systems using FHIR, HL7, and InterSystems technology. Built on IRIS for Health and FHIR repositories, MyVitals turns disconnected wearable data into actionable clinical insights—securely, efficiently, and at scale.

Presenters:
🗣 @Alberto Fuentes, Sales Engineer, InterSystems
🗣 @Pierre-Yves Duquesnoy, Senior Sales Engineer, InterSystems
🗣 @Luis Angel Pérez Ramos, Sales Engineer, InterSystems

https://www.youtube.com/embed/2O0KZ__todk
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The operations manager in our company was using structured logging in IRIS to tail information to an on-prem monitoring tool and started to get concerned with the ever-growing size of the output file. He just leaned across the aisle here and informed me that the output file has no mechanism for rolling this file over at a certain point for archival or disposal. Sure enough, I can't find any documentation to refute this.

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Been testing out the Production Validator toolkit, just to see what we can/not do with it. Seems really interesting and there seem to be some use cases for it that can really streamline some upgrades (or at least parts of upgrades) but I was running into so many hurdles with the documentation. I am curious if anyone else has used it.

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Data is at the heart of the digital transformation sweeping healthcare. Radical change requires a new foundation to handle the massive data demands of modern healthcare.

Time to market is crucial as you develop the next therapeutic breakthroughs, genomic insights, and intelligent clinical workflows. You need to deliver them now.

That’s why we’ve extended the power of our InterSystems IRIS Data Platform to address the unique characteristics of healthcare information. InterSystems IRIS for Health is the world’s first and only data platform engineered specifically for the rapid development of healthcare applications to manage the world’s most critical data.

IRIS Health diagram

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I have a table with 5M rows, the table contains lab observation codes and display names, both columns have type varchar(2000) and both are indexed.

The query looks like:

select code_1_text, count(code_1_text)
  from demo.observation_lab
  group by code_1_text
  order by 2 desc

The table contains ~1000 distinct display names.

It takes 4 minutes for the query to complete on a VM with some pretty old Xeon, 4 cores, 32G RAM, NVME SSD and Linux on board.

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