Application Name | Developer | Made with | Rating | Last updated | Views | Installs |
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![]() IRIS WHIZ - HL7v2 Browser ExtensionBrowser extension created to extend the HL7v2 capabilities of Intersystems Iris/Ensemble. | 4.7 (3) | 15 Dec, 2024 | ||||
ks-fhir-genIRIS Health FHIR based HL7 message generator | Docker | 4.5 (1) | 13 Dec, 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 | ||||||
![]() Data_APP_SecurityOAuth Authentication, Authorization & Auditing basics | Docker IPM | 5.0 (1) | 12 Nov, 2024 | |||
![]() LabResultsVerification-hl7HL7 App to update reference range and find critical results | Docker IPM | 5.0 (1) | 12 Nov, 2024 | |||
Healthcare HL7 XMLHealthcare HL7 XML (also known as ITB or Ensemble HL7 XML) is an application you can install in InterSystems Healthcare products to handle HL7 v.2.x messages in XML format. | A | Docker IPM | 5.0 (2) | 02 Sep, 2024 | ||
iris-hl7Transform HL7 messages to JSON | O | Docker IPM | 4.7 (3) | 03 Feb, 2024 | ||
![]() POST HL7 Message to REST API EndpointPOST an HL7 message converted to JSON to a REST API Endpoint | A | 0.0 (0) | 15 Dec, 2023 | |||
![]() custom2hl7Transform custom patient data format to the HL7v2 format | Docker | 4.3 (3) | 26 Oct, 2023 | |||
![]() BulkProfile_HL7RoutingRulesIRIS Integration - Bulk find HL7 Routing changes. No UnitTests. | A | IPM | 3.0 (2) | 08 Jul, 2023 | ||
![]() UnitTest_DTL_HL7HL7 DTL TestCase Creator and Runner Framework | A | 0.0 (0) | 15 Aug, 2022 | |||
![]() UnitTest_RuleSetUnit Tests for HL7 Routing in IRIS Integration | A | 5.0 (1) | 13 Jul, 2022 | |||
wifis-connectWiFIS Connect is an application you can install in InterSystems Healthcare products to build your connection to WiFIS interoperability platform in SISCAT. | A | Docker | 5.0 (1) | 27 May, 2022 | ||
Integration scheme for heterogeneous messages in heterogeneous systemsIntegration scheme for heterogeneous messages in heterogeneous systems | D | 0.0 (0) | 28 Feb, 2021 | |||
Reducing Readmission Risks with Realtime MLPatient Readmissions are said to be the Hello World of Machine Learning in Healthcare. We use this problem to show how IRIS can be used to safely build and operationalize ML models for real time predictions and how this can be integrated into a random application. | A | Docker ML ML | 3.5 (1) | 29 Jan, 2020 | ||
![]() HL7 and SMS Interoperability DemoThis application requires you to have Docker installed on your PC. | A | Docker | 5.0 (1) | 17 Oct, 2019 |