Feeding Remote Patient Monitoring data to a clinical dashboard from Atomik Server (#openEHR Platform). 👇👇👇
Why spending hours integrating data into your apps, dashboards and reports, if it can take minutes?
youtu.be/DZwA2BA2lHM
Working with #openEHR is easy with the right tools. Here's how to save time creating vital signs monitoring data queries in Atomik. youtu.be/RNdmsxKYqDA
Feeding Remote Patient Monitoring data to a clinical dashboard from Atomik Server (#openEHR Platform). 👇👇👇
Why spending hours integrating data into your apps, dashboards and reports, if it can take minutes?
youtu.be/DZwA2BA2lHM
Feeding Remote Patient Monitoring data to a clinical dashboard from Atomik Server (#openEHR Platform). 👇👇👇
Why spending hours integrating data into your apps, dashboards and reports, if it can take minutes?
youtu.be/DZwA2BA2lHM
How to execute a #FHIR Search on top of an #openEHR server?
Here I have Atomik Server (atomik.app/) running, with a stored query to retrieve patients by partial names with a FHIR facade on top.
Check the video for more details: youtu.be/aguwCLJ2mj4
This brand @Netac10 mentioning reliability and stability on their HDs. Fact: an importer sold these discs and the 960GB ones ALL FAILED, yes ALL. They changed my disc three times and tested 10 more, all failed. Then I moved back to the reliable Kingston KC600 (not the SA400 crap)
𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗮 𝗥𝘂𝗹𝗲 𝗘𝗱𝗶𝘁𝗼𝗿: 𝗘𝗻𝗵𝗮𝗻𝗰𝗶𝗻𝗴 𝗟𝗼𝗴𝗶𝗰 𝗳𝗼𝗿 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 I'm working on a Rule Editor for our Rule Engine that brings practical power to healthcare decision systems. Here's a look at our simple but effective logic rules.
𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗮 𝗥𝘂𝗹𝗲 𝗘𝗱𝗶𝘁𝗼𝗿: 𝗘𝗻𝗵𝗮𝗻𝗰𝗶𝗻𝗴 𝗟𝗼𝗴𝗶𝗰 𝗳𝗼𝗿 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 I'm working on a Rule Editor for our Rule Engine that brings practical power to healthcare decision systems. Here's a look at our simple but effective logic rules.
Is @AnthropicAI actually giving any financial support to @Wikipedia based on it using WP to train models? See the job description from AnthropicAI: "Making a Wikipedia dataset in a format models can easily consume" linkedin.com/jobs/search/?cu…
In our new #CaboLabs Rule Engine, you can get values from HTTP resources, process them and assign them to local variables, allowing all kinds of processing of data taken from REST APIs like #openEHR and #FHIR.
A small update on our @CaboLabs Rule Engine: we have the basic rule logic with HTTP data "resolvers" working, also a basic rule format and parser. Though the rule model is complete, we are working on translating that to code. As an example, a rule looks like this:
Atomik Server just added support for querying multiple versions of COMPOSITIONs, to filter by the date of the creation of the VERSIONED_OBJECT, and added support for DV_CODED_TEXT and DV_ORDINAL variables in queries. #openEHR#CDR#EHR
Just finished our #CaboLabs#FHIR Server, a very thin HAPI FHIR Server with transformers for #openEHR data. The whole idea is the have the simplest HAPI FHIR Server with the ability of extending it with custom openEHR mappers.
Las personas ricas compran tiempo, las personas pobres compran cosas, las personas ambiciosas compran habilidades y conocimiento, las personas perezosas compran distracciones.