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.

Let's say IRIS is contributing to workload for a Hospital system, routing DICOM images, ingesting HL7 messages, posting FHIR resources, or pushing CCDA's to next provider in a transition of care. Natively, IRIS persists these objects in various stages of the pipeline via the nature of the business processes and anything you included along the way. Lets send that up to Google Big Query to augment and compliment the rest of our Data Warehouse data and ETL (Extract Transform Load) or ELT (Extract Load Transform) to our hearts desire.

A reference architecture diagram may be worth a thousand words, but 3 bullet points may work out a little bit better:

• It exports the data from IRIS into DataFrames
• It saves them into GCS as .avro to keep the schema along the data: this will avoid to specify/create the BigQuery table schema beforehands.
• It starts BigQuery jobs to import those .avro into the respective BigQuery tables you specify.

Hello,

I am pretty stuck here and would appreciate any help or advice on an approach to this...

I have a single claim file, ingested that has 7 claims inside of it, I am pulling each claim out based on a qualifier, then want to remove all of the others and do something with the one that is left over.

My problem is I cant seem to figure out how to Remove the Claims programatically...

Hello,

I am running a transformDTL through COS that transforms an EDI document to JSON and would like to validate the document and throw an error if it does not validate or build a map.

I am looking at available methods and haven't been able to find one that sort of does: Set tSC = ##class(*).Validate(tDoc,"HIPAA_5100").

Any help here would be appreciated, it seems like I am missing something simple.

I am logged in and cannot seem to edit my background information and some other attributes.

What gives?

Most likely I am doing something wrong but any help would be appreciated.

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:

• The implementation of Amazon Web Services to provision the infrastructure, including the auto-creation of the state level instances through Cloud Formation.
• The use of the HSPD Broadcast functionality to Notify Upstream Systems Changes in Master Provider Data.
• The implementation of a transformation of the standard Broadcast Object to HL7 MFN for interoperability.
• The principals of Master Data Management applied to the Provider Directory.