14 Application(s) results for #hl7
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iris-hl7
iris-hl7
Transform HL7 messages to JSON
4.7 (3)
DockerIPM
Solutions
IRIS WHIZ - HL7v2 Browser Extension
IRIS WHIZ - HL7v2 Browser Extension
Browser extension created to extend the HL7v2 capabilities of Intersystems Iris/Ensemble.
4.7 (3)
Technology Example
POST HL7 Message to REST API Endpoint
POST HL7 Message to REST API Endpoint
POST an HL7 message converted to JSON to a REST API Endpoint
0.0 (0)
Technology Example
custom2hl7
custom2hl7
Transform custom patient data format to the HL7v2 format
4.3 (3)
Docker
Solutions
BulkProfile_HL7RoutingRules
BulkProfile_HL7RoutingRules
IRIS Integration - Bulk find HL7 Routing changes. No UnitTests.
3.0 (2)
IPM
Solutions
UnitTest_DTL_HL7
UnitTest_DTL_HL7
HL7 DTL TestCase Creator and Runner Framework
0.0 (0)
Integration
UnitTest_RuleSet
UnitTest_RuleSet
Unit Tests for HL7 Routing in IRIS Integration
5.0 (1)
Frameworks
wifis-connect
wifis-connect
WiFIS Connect is an application you can install in InterSystems Healthcare products to build your connection to WiFIS interoperability platform in SISCAT.
5.0 (1)
Docker
Developer Environment
Data_APP_Security
Data_APP_Security
OAuth Authentication, Authorization & Auditing basics
5.0 (1)
DockerIPM
Integration
LabResultsVerification-hl7
LabResultsVerification-hl7
HL7 App to update reference range and find critical results
5.0 (1)
DockerIPM
Integration
Healthcare HL7 XML
Healthcare HL7 XML
Healthcare 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.
5.0 (2)
DockerIPM
Technology Example
Integration scheme for heterogeneous messages in heterogeneous systems
Integration scheme for heterogeneous messages in heterogeneous systems
Integration scheme for heterogeneous messages in heterogeneous systems
0.0 (0)
Solutions
Reducing Readmission Risks with Realtime ML
Reducing Readmission Risks with Realtime ML
Patient 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.
3.5 (1)
DockerML
Integration
HL7 and SMS Interoperability Demo
HL7 and SMS Interoperability Demo
This application requires you to have Docker installed on your PC.
5.0 (1)
Docker