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Application Name | Developer | Made with | Rating | Last updated | Views | Installs |
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fhirmessageverificationA Simple FHIR Message Verification Application+Message Create | Docker IPM | 0.0 (0) | 21 Feb, 2024 | |||
![]() webHERALDFRONTEND MADE EASY! Develop all you browser-based applications. | A | 5.0 (2) | 16 Feb, 2024 | |||
InterSystems Ideas Waiting to be ImplementedParser for arbitrary binary protocolsRapid growth of IoT industry in recent years produced a plethora of new protocols with varying levels of standardization and adoption. Quite a lot of these protocols are binary because: * It allows for greater throughput * On a device level these protocols are easier to implement * On a device level they are more resource (CPU/RAM) efficient Currently InterSystems IRIS offers several functions for work with binary data: * zzdump * $zhex * $char * $ascii But protocol implementation is left as a task for the end user. Removing the time-consuming need for protocol implementation would allow for easier and stronger positioning of InterSystems IRIS as an IoT platform. One of the possible approaches to protocol implementation is declarative parsing. With declarative parsing user describes the data structure that he wants parsed (i.e.{ name: title, type: string, length: 5}...) in some declarative language (XML, JSON, YAML) and we use this to generate a concrete parser. Afterwards user passes protocol data to the concrete parser implementation and receives parsed values (as objects or locals or $lb). Kaitai Struct (http://kaitai.io) is an OpenSource (MIT license) declarative parser implementation which allows user to generate parser code for several languages: C++, C#, Go, Java, JavaScript, Lua, Perl, PHP, Python, Ruby, Rust. It allows easy language extensibility by keeping most of the process language-agnostic and only the last step (concrete parser generation) is end-language specific. I propose we add ObjectScript as a Kaitai Struct generation language. It would allow us to generate native ObjectScript parsers easily which would help with presenting InterSystems IRIS an IoT platform especially at a PoC stage. Alternatives to Kaitai Struct: * binpac (https://github.com/bro/binpac) - C++ only * preon (https://github.com/preon/preon) - Java only The advantage of Kaitai Struct is that it's not aimed at one language form the beginning, so adding a new language is an expected procedure. Article on the topic (https://old.reddit.com/r/cpp/comments/5tcnmh/implementing_communication_protocols_in_c_for/) E 3Votes0Comments | ||||||
iris-climatiq-adapterAn IRIS Interoperability adapter for using the Climatiq API | Docker IPM | 3.7 (3) | 13 Feb, 2024 | |||
![]() MTConnect-ObjectScriptAn ObjectScript Implementation for the MTConnect Standard. | P | Docker IPM | 4.3 (3) | 12 Feb, 2024 | ||
![]() QuinielaMLSoccer match predictions with IntegratedML | Docker ML ML | 5.0 (1) | 09 Feb, 2024 | |||
workshop-smartFunctional example of Angular APP + Auth0 + IRIS FHIR Repository | Docker | 0.0 (0) | 09 Feb, 2024 | |||
EnsembleWorkflowRestful web API for InterSystems Ensemble / InterSystems IRIS Workflow | E | Docker IPM | 4.3 (2) | 08 Feb, 2024 | ||
![]() iris-fhir-labA web app to display FHIR resources details dynamically | Docker Python IPM | 0.0 (0) | 05 Feb, 2024 | |||
FHIR-OCR-AIImage extraction text to fhir message | x | IPM AI | 0.0 (0) | 04 Feb, 2024 | ||
![]() Clinical Mindmap ViewerFHIR Clinical Mindmap Viewer | Docker IPM | 5.0 (1) | 04 Feb, 2024 | |||
![]() iris-fhirfyUsing IRIS and LLMs to help developers to convert raw data into FHIR | Docker Python IPM AI | 5.0 (1) | 03 Feb, 2024 | |||
iris-hl7Transform HL7 messages to JSON | O | Docker IPM | 4.7 (3) | 03 Feb, 2024 | ||
![]() Collection-Indexing-and-QueryHow to get correct index for SQL query generator | Docker IPM | 4.0 (2) | 03 Feb, 2024 | |||
Fhir-HepatitisC-PredictProcessing FHIR resources through FHIR SQL BUILDER will predict the probability of suffering from HepatitisC disease | s | IPM ML ML | 0.0 (0) | 02 Feb, 2024 | ||
![]() Health HarbourAn example of using InterSystems FHIR | A | Docker IPM | 5.0 (1) | 01 Feb, 2024 | ||
![]() testcontainers-iris-pythonStart container with IRIS directly from python | Python | 5.0 (1) | 01 Feb, 2024 | |||
![]() liquibase-irisLuquibase extension: InterSystems IRIS support | 0.0 (0) | 01 Feb, 2024 | ||||
![]() presto-irisPresto InterSystems IRIS Connector | Docker Python | 5.0 (1) | 01 Feb, 2024 | |||
![]() trino-irisTrino InterSystems IRIS Connector | Docker Python | 0.0 (0) | 01 Feb, 2024 | |||
workshop-firebaseFirebase adaptor | Docker IPM | 0.0 (0) | 31 Jan, 2024 | |||
CubeEventMonitorTool for monitoring BI cube events and build errors | S | Docker IPM | 4.0 (1) | 29 Jan, 2024 | ||
![]() ai-queryOur AI-driven eligibility query tool streamlines patient identification by leveraging FHIR data, making it easier to find patients with care gaps and suitable cohorts for clinical trials. It integrates with IRIS, handling requests across diverse data sources, asking clarifying questions, and executi | Docker AI | 5.0 (2) | 27 Jan, 2024 | |||
![]() ZPrettyWrap JSON to multi lines / Test ISJSON | Docker IPM | 4.8 (2) | 26 Jan, 2024 | |||
Patient-PSI-DataIt is called the Patient PSI Data Platform | Y | Docker | 5.0 (1) | 26 Jan, 2024 | ||
HL7-FHIR-Cohort-PopulationHL7 to FHIR Cohort Population | M | 5.0 (1) | 25 Jan, 2024 | |||
System-AlertsSystem Alerts | M | 5.0 (1) | 25 Jan, 2024 | |||
intersystems-iris-dev-templateA basic template to develop with InterSystems IRIS | Docker Python | 5.0 (3) | 25 Jan, 2024 | |||
objectscript-docker-templateTemplate project for InterSystems ObjectScript with InterSystems IRIS community Edition docker container | Docker | 5.0 (1) | 25 Jan, 2024 | |||
iris-healthtoolkit-serviceConvert HL7 to FHIR, CDA to FHIR, FHIR to HL7 as a Service | G | Docker IPM | 5.0 (3) | 23 Jan, 2024 | ||
WidgetsDirectorA sample IRIS Backend app to implement a REST API for a helpdesk | C | Docker IPM | 3.8 (3) | 23 Jan, 2024 |