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On this feed I had messages to create a patient, update it, admit it, etc. If one messages arrived on its destination before the previous related ones, I would loose updates.

Thanks for your patience Thank you for the information Jamie, is there a rough ETA on this? I'm sorry it's policy to not comment about dates for availability of future releases.

Hi Community, I am trying to read a JSON file and convert into HL7 message.Please find the example below Set Jsonobj={"Doctype":"ADT^A01","PatientId":"123","PatientName":"Alex"

Relationship properties with cardinality one or parent are not included by default in JSON serialization.

That's really useful to know indeed. Rubens, your rule #2 says " Argument index starts from 0" but in your example the index starts at 1. Whoops! Fixed.

Index=17 All PASSED [COMMON|common-unit-tests] Test SUCCESS What am I doing wrong? FYI I am also using the Mocking Framework introduced here.

These nodes will be responsible for obtaining patients' clinical information from the various available data sources and providing it to the central node.

I already have a very strong patient Data Base but I am afraid that day by day as it is increasing i will need a better one to handle things.

How is an application to know a Patient to query if it does not have enough information to begin the query into FHIR. FHIR-interoperability game changer?

I saw in iris-fhir-template it imported some patient data to a FHIR server.

The areas of development will include patient portal, doctor portal and intermediate layer to provide modules communications.

When applied to everyday business interactions, predictive models developed using machine learning can have a dramatic impact on customer experience, patient care, forecasting, public

I found the following in the HealthShare "Help" online documentation: "In Information Exchange, the patient’s medical record is transmitted in a format called SDA (Summary Document

} 2 16 8192 According to the class reference, this is a directory (16) that is hidden (2) and not indexed (8192).

To download and install iKnow, all you need to do is run pip install iknowpy and you're ready to start indexing.