Integration Required is a full-stack technical delivery team for your InterSystems® workloads, tailored to meet the requirements of your security posture and organizational deployment standards. With a decade of InterSystems® partnerships and rigorous adherence to customer satisfaction, we are trusted with best practices.
Email us: ron.sweeney@integrationrequired.com
For historic reasons we've got a mix of ADT feeds coming out of our PAS (TrakCare) to a wide range of downstream systems. In particular, there are some that are direct from TrakCare to the downstream systems, and many more that pass through Ensemble as our integration engine.
This is complicating management of the integrations, and so we'd like everything to go through the integration engine. In other words move from the flow in the top of the diagram to the flow in the bottom of the diagram:
This article will cover turning over control of provisioning the InterSystems Kubernetes Operator, and starting your journey managing your own "Cloud" of InterSystems Solutions through Git Ops practices. This deployment pattern is also the fulfillment path for the PID^TOO||| FHIR Breathing Identity Resolution Engine.
A Quick start to include InterSystems IRIS Tables in Data Build Tool using Python.
It uses the sqlalchemy plugin with sqlalchemy-iris which enables the iris strategy for duckdb as a source for a dbt project.
EDIT: If you stumbled here on Google Geuse for "iris dbt", your best bet is to checkout dbt-iris for the native adapter implementation that follows dbt guidelines.
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How to include IRIS Data into your Google Big Query Data Warehouse and in your Data Studio data explorations. In this article we will be using Google Cloud Dataflow to connect to our InterSystems Cloud SQL Service and build a job to persist the results of an IRIS query in Big Query on an interval. If you were lucky enough to get access to Cloud SQL at Global Summit 2022 as mentioned in "InterSystems IRIS: What's New, What's Next", it makes the example a snap, but you can pull this off with any publicly or vpc accessible listener you have provisioned instead. |
Hi,
This is Jayanth from OAK Technologies.
Hope you are all doing well!!
We have a position for InterSystems IRIS Technology Role for our client if anyone is interested, please drop your resume to jayanth@oaktechinc.com
Job Role: IRIS technology role
Location: Chicago, Illinois (Remote Work)
Contract:1+ Year W2 OR 1099 Contact
A simple production that enables FHIR transaction bundles to be loaded into InterSystems® FHIR® Server via Box and Dropbox. Using the included MFT Connection Components and a 14 liner Custom Business Process, this production will process your transaction bundles to FHIR Resources for immediate consumption with Harry Potter like wizardry. Great for Hackathons, Research and FHIR® Cocktail parties.
We are ridiculously good at mastering data. The data is clean, multi-sourced, related and we only publish it with resulting levels of decay that guarantee the data is current. We chose the HL7 Reference Information Model (RIM) to land the data, and enable exchange of the data through Fast Healthcare Interoperability Resources (FHIR®).
Put the InterSystems FHIR Server to work at the HL7 FHIR Connectathon in Baltimore last weekend, posting bundles, getting all RESTy with resources, and interrogating the Vulcan Implementation Guide. We straddled the Real World Data (RWD) and Schedule of Activity (SoA) projects for Vulcan IG folks moving the ball forward connecting clinical research and healthcare data. We employed a pretty decent approach to meet the requirements,
Wanted to have a FHIR Story in the back pocket to share with the participants on a dead simple series of calls against the FHIR Server for anybody in the mindset of emitting metrics from a device to FHIR.
Presentation:
https://docs.google.com/presentation/d/1AY8_P7qEZe5b_3DVJGqWnVlBbNubQdk…
Postman Collection:
https://www.postman.com/brighstreetgroup/workspace/mit-grand-hack-2022/…
Want a commercial grade FHIR® Implementation included in your micro service ecosystem and barely have enough time to fill out your Health plan elections?
Here is a quick way to invite the InterSystems® FHIR®Accelerator Service to your Kubernetes Microservice party for immediate use. The solution uses Nginx proxy ninja moves to get the job done. Though rustic and bound to create some technical arguments, I am pretty happy with the results until this community tells me otherwise, so FHIR® away as they say but it would be great if you heard me out first.
Deploying InterSystems HealthShare code, supporting lookups and artifacts like ssl certs, keys etc is relatively straight forward using Gitlab Runners. Not only does this approach enable managing the code base and deploying with git type workflows, but it also lends to a speedy recovery and repeatable environments for some implementations.
So given the STAR method on how to introduce Newman with this effort, here it goes.
If you are looking for a slick way to integrate your IRIS solution in the Amazon Web Services ecosystem, server less application, or boto3 powered python script, using the IRIS Python Native API could be the way to go. You don't have to build out to far with a production implementation until you'll need to reach out and get something or set something in IRIS to make your application do its awesome sauce, so hopefully you will find value in this article and build something that matters or doesn't matter at all to anybody else but you as that is equally important.
Loading your IRIS Data to your Google Cloud Big Query Data Warehouse and keeping it current can be a hassle with bulky Commercial Third Party Off The Shelf ETL platforms, but made dead simple using the iris2bq utility.
For Global Summit 2016, I set out to showcase a Reference Architecture I had been working on for a National Provider Directory solution with State Level Instances and a National Instance all running HealthShare Provider Directory and all running on AWS Infrastructure.
In short, I wanted to highlight: