| Package | au.digitalhealth.cda.schema |
| Type | StructureDefinition |
| Id | Id |
| FHIR Version | R5 |
| Source | http://ns.electronichealth.net.au/cda/https://build.fhir.org/ig/AuDigitalHealth/cda-au-schema/StructureDefinition-QTY.html |
| Url | http://hl7.org/cda/stds/core/StructureDefinition/QTY |
| Version | 0.1.0 |
| Status | active |
| Date | 2024-09-29T21:44:55+00:00 |
| Name | QTY |
| Title | QTY: Quantity (V3 Data Type) |
| Experimental | False |
| Realm | au |
| Authority | national |
| 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. |
| Type | http://hl7.org/cda/stds/core/StructureDefinition/QTY |
| Kind | logical |
| StructureDefinition | |
http://hl7.org/cda/stds/core/StructureDefinition/INT  | INT: IntegerNumber (V3 Data Type) |
| http://hl7.org/cda/stds/core/StructureDefinition/MO | MO: MonetaryAmount (V3 Data Type) |
| http://hl7.org/cda/stds/core/StructureDefinition/PQ | PQ: PhysicalQuantity (V3 Data Type) |
| http://hl7.org/cda/stds/core/StructureDefinition/REAL | REAL: RealNumber (V3 Data Type) |
| http://hl7.org/cda/stds/core/StructureDefinition/RTO-PQ-PQ | RTO_PQ_PQ: Ratio (V3 Data Type) |
| http://hl7.org/cda/stds/core/StructureDefinition/TS | TS: PointInTime (V3 Data Type) |
| StructureDefinition | |
| http://hl7.org/cda/stds/core/StructureDefinition/ANY | ANY: DataValue (V3 Data Type) |
Note: links and images are rebased to the (stated) source
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.
FHIR{
"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" : "0.1.0",
"name" : "QTY",
"title" : "QTY: Quantity (V3 Data Type)",
"status" : "active",
"experimental" : false,
"date" : "2024-09-29T21:44:55+00:00",
"publisher" : "HL7",
"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" : "*"
}
]
}
}
XIG built as of ??metadata-date??. Found ??metadata-resources?? resources in ??metadata-packages?? packages.