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Resource StructureDefinition/FHIR Server from package au.digitalhealth.cda.schema#current (16 ms)

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 2024-07-14T23:06:26+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

Resources that use this resource

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)

Resources that this resource uses

StructureDefinition
http://hl7.org/cda/stds/core/StructureDefinition/ANY ANY: DataValue (V3 Data Type)


Narrative

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.


Source

{
  "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" : "2024-07-14T23:06:26+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" : "*"
      }
    ]
  }
}

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