FQL is a query language that allows you to retrieve, filter and project data from any data source containing FHIR Resources. It brings the power of three existing languages together: SQL, JSON and FhirPath. It allows you to create tables and is useful for gaining insight and perform quality control.
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Default
What is FQL?
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FQL Query resources
FQL Playground
Try Firely Query Language in our playground by using this scope as data source.
- FQL Documentation
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FQL Language
Syntax specification
To learn more about FQL syntax choose this menu item.
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YamlGen Generate resources
YamlGen Playground
Try YamlGen in our playground by using this scope as data source.
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YamlGen Language
YamlGen Syntax specification
To learn more about YamlGen syntax choose this.
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FHIRPath Inspect resource
FHIRPath Playground
Try out the FHIRPath playground and navigate inside this resource.
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FHIRPath Documentation
FHIRPath Documentation
Find out what FHIRPath is or learn how to write FHIRPath scripts.
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Project FHIR API
This is the location where you can find your resource using a FHIR client.
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Simplifier FHIR API
The global endpoint is where users can search for all resources in Simplifier. Resources have a globally unique guid Id here.
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Custom Example generation
Custom Example generation beta
Experiment with resource instance generation using YamlGen and based on this profile.
This feature is in beta. You can help us improve it by giving feedback with the feedback button at the top of the screen.
Composition (PS-AB)
This profile defines a set of constraints to the FHIR Composition resource for use in Alberta Patient Summaries (PS-AB). It re-profiles the PS-CA Composition profile and refines constraints applied to the Composition resource by the PS-CA project.
A Canadian Patient Summary (PS-CA) document is an electronic health record extract containing essential healthcare information about a subject of care. It is informed by the IPS-UV Composition profile, but differs in its application of MS flags on some of the sections to allow for jurisdictional implementors flexibility in what sections systems must support in order to show conformance to their respective patient summaries. The PS-CA dataset is minimal and non-exhaustive; specialty-agnostic and condition-independent; but still clinically relevant. Its informed by the requirements specified in EN 17269 and ISO/DIS 27269, it is designed for supporting the international use case scenario for ‘unplanned, cross border care’, but is also designed to support a variety of use cases for cross-jurisdiction exchange. It is intended to guide implementation nationally while ensuring international exchange of patient summaries is not impeded.
This profile is based on the ClinicalDocument profile from the base R4 FHIR standard.
- type Profile on Composition
- FHIR R4
- status Draft
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version1.1.0
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