Ing. Pablo Pazos (@ppazos) header
Ing. Pablo Pazos (@ppazos) profile picture

#eHealth integration engineer #openEHR #HL7 #DICOM, software architect, speaker, trainer, director @CaboLabs, OTs: skateboarder/drawing artist/electronics IoT

Montevideo, Uruguay
Joined July 2008
Photo by Ing. Pablo Pazos (@ppazos)Photo by Ing. Pablo Pazos (@ppazos)Photo by Ing. Pablo Pazos (@ppazos)Photo by Ing. Pablo Pazos (@ppazos)Photo by Ing. Pablo Pazos (@ppazos)Photo by Ing. Pablo Pazos (@ppazos)Photo by Ing. Pablo Pazos (@ppazos)Photo by Ing. Pablo Pazos (@ppazos)Photo by Ing. Pablo Pazos (@ppazos)
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
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Microsoft's SSO is a mess, Gemini knows...
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Taller: Crea tu propio servidor FHIR® 🔥 cabolabs.com/educacion/fhir_…
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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
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Ing. Pablo Pazos retweeted
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
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Ing. Pablo Pazos retweeted
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
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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
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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)
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Another example of a basic rule in our Rule Editor
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.
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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.
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Ing. Pablo Pazos retweeted
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…
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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…
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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.
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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:
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Ing. Pablo Pazos retweeted
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
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Ing. Pablo Pazos retweeted
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.
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Las personas ricas compran tiempo, las personas pobres compran cosas, las personas ambiciosas compran habilidades y conocimiento, las personas perezosas compran distracciones.
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