This page is part of the CDA: Clinical Document Architecture (v2.0.0-sd: CDA2 - Informative) generated with FHIR (HL7® FHIR® Standard) v5.0.0. This is the current published version. For a full list of available versions, see the Directory of published versions
Active as of 2024-05-17 |
JSON representation of the QTY logical model.
{
"resourceType" : "StructureDefinition",
"id" : "QTY",
"text" : {
"status" : "generated",
"div" : "<div xmlns=\"http://www.w3.org/1999/xhtml\">\n <p>The quantity data type is an abstract generalization for all data types (1) whose value set has an order relation (less-or-equal) and (2) where difference is defined in all of the data type's totally ordered value subsets. The quantity type abstraction is needed in defining certain other types, such as the interval and the probability distribution.</p>\n </div>"
},
"extension" : [
{
"url" : "http://hl7.org/fhir/tools/StructureDefinition/logical-target",
"_valueBoolean" : {
"extension" : [
{
"url" : "http://hl7.org/fhir/StructureDefinition/data-absent-reason",
"valueCode" : "not-applicable"
}
]
}
},
{
"url" : "http://hl7.org/fhir/tools/StructureDefinition/xml-namespace",
"valueUri" : "urn:hl7-org:v3"
},
{
"url" : "http://hl7.org/fhir/tools/StructureDefinition/logical-container",
"valueUri" : "http://hl7.org/cda/stds/core/StructureDefinition/ClinicalDocument"
}
],
"url" : "http://hl7.org/cda/stds/core/StructureDefinition/QTY",
"version" : "2.0.0-sd",
"name" : "QTY",
"title" : "QTY: Quantity (V3 Data Type)",
"status" : "active",
"experimental" : false,
"date" : "2024-05-17T05:59:32+10:00",
"publisher" : "Health Level 7",
"contact" : [
{
"name" : "HL7 International - Structured Documents",
"telecom" : [
{
"system" : "url",
"value" : "http://www.hl7.org/Special/committees/structure"
},
{
"system" : "email",
"value" : "structdog@lists.HL7.org"
}
]
}
],
"description" : "The quantity data type is an abstract generalization for all data types (1) whose value set has an order relation (less-or-equal) and (2) where difference is defined in all of the data type's totally ordered value subsets. The quantity type abstraction is needed in defining certain other types, such as the interval and the probability distribution.",
"fhirVersion" : "5.0.0",
"mapping" : [
{
"identity" : "rim",
"uri" : "http://hl7.org/v3",
"name" : "RIM Mapping"
}
],
"kind" : "logical",
"abstract" : true,
"type" : "http://hl7.org/cda/stds/core/StructureDefinition/QTY",
"baseDefinition" : "http://hl7.org/cda/stds/core/StructureDefinition/ANY",
"derivation" : "specialization",
"snapshot" : {
"element" : [
{
"id" : "QTY",
"path" : "QTY",
"short" : "Base for all types and resources",
"definition" : "is an abstract generalization for all data types (1) whose value set has an order relation (less-or-equal) and (2) where difference is defined in all of the data type's totally ordered value subsets. The quantity type abstraction is needed in defining certain other types, such as the interval and the probability distribution.",
"min" : 1,
"max" : "*",
"base" : {
"path" : "Base",
"min" : 0,
"max" : "*"
},
"isModifier" : false,
"mapping" : [
{
"identity" : "rim",
"map" : "n/a"
}
]
},
{
"id" : "QTY.nullFlavor",
"path" : "QTY.nullFlavor",
"representation" : [
"xmlAttr"
],
"label" : "Exceptional Value Detail",
"definition" : "If a value is an exceptional value (NULL-value), this specifies in what way and why proper information is missing.",
"min" : 0,
"max" : "1",
"base" : {
"path" : "ANY.nullFlavor",
"min" : 0,
"max" : "1"
},
"type" : [
{
"code" : "code",
"profile" : [
🔗 "http://hl7.org/cda/stds/core/StructureDefinition/cs-simple"
]
}
],
"binding" : {
"strength" : "required",
"valueSet" : "http://hl7.org/cda/stds/core/ValueSet/CDANullFlavor"
}
}
]
},
"differential" : {
"element" : [
{
"id" : "QTY",
"path" : "QTY",
"definition" : "is an abstract generalization for all data types (1) whose value set has an order relation (less-or-equal) and (2) where difference is defined in all of the data type's totally ordered value subsets. The quantity type abstraction is needed in defining certain other types, such as the interval and the probability distribution.",
"min" : 1,
"max" : "*"
}
]
}
}