spark_auto_mapper_fhir.backbone_elements.observation_component
¶
Module Contents¶
Classes¶
Observation.Component |
- class spark_auto_mapper_fhir.backbone_elements.observation_component.ObservationComponent(*, id_=None, extension=None, modifierExtension=None, code, valueQuantity=None, valueCodeableConcept=None, valueString=None, valueBoolean=None, valueInteger=None, valueRange=None, valueRatio=None, valueSampledData=None, valueTime=None, valueDateTime=None, valuePeriod=None, dataAbsentReason=None, interpretation=None, referenceRange=None)¶
Bases:
spark_auto_mapper_fhir.base_types.fhir_backbone_element_base.FhirBackboneElementBase
- Observation.Component
Measurements and simple assertions made about a patient, device or other subject.
Measurements and simple assertions made about a patient, device or other
subject.
- param id_
None
- param extension
May be used to represent additional information that is not part of the basic
definition of the element. To make the use of extensions safe and manageable, there is a strict set of governance applied to the definition and use of extensions. Though any implementer can define an extension, there is a set of requirements that SHALL be met as part of the definition of the extension.
- param modifierExtension
May be used to represent additional information that is not part of the basic
definition of the element and that modifies the understanding of the element in which it is contained and/or the understanding of the containing element’s descendants. Usually modifier elements provide negation or qualification. To make the use of extensions safe and manageable, there is a strict set of governance applied to the definition and use of extensions. Though any implementer can define an extension, there is a set of requirements that SHALL be met as part of the definition of the extension. Applications processing a resource are required to check for modifier extensions.
Modifier extensions SHALL NOT change the meaning of any elements on Resource or DomainResource (including cannot change the meaning of modifierExtension itself).
- param code
Describes what was observed. Sometimes this is called the observation “code”.
- param valueQuantity
None
- param valueCodeableConcept
None
- param valueString
None
- param valueBoolean
None
- param valueInteger
None
- param valueRange
None
- param valueRatio
None
- param valueSampledData
None
- param valueTime
None
- param valueDateTime
None
- param valuePeriod
None
- param dataAbsentReason
Provides a reason why the expected value in the element
- Observation.component.value[x] is missing.
- param interpretation
A categorical assessment of an observation value. For example, high, low,
- normal.
- param referenceRange
Guidance on how to interpret the value by comparison to a normal or
recommended range.
- Parameters
id_ (Optional[spark_auto_mapper_fhir.fhir_types.string.FhirString]) –
extension (Optional[spark_auto_mapper_fhir.fhir_types.list.FhirList[spark_auto_mapper_fhir.extensions.extension_base.ExtensionBase]]) –
modifierExtension (Optional[spark_auto_mapper_fhir.fhir_types.list.FhirList[spark_auto_mapper_fhir.extensions.extension_base.ExtensionBase]]) –
code (spark_auto_mapper_fhir.complex_types.codeable_concept.CodeableConcept[spark_auto_mapper_fhir.value_sets.loinc_codes.LOINCCodesCode]) –
valueQuantity (Optional[spark_auto_mapper_fhir.complex_types.quantity.Quantity]) –
valueCodeableConcept (Optional[spark_auto_mapper_fhir.complex_types.codeable_concept.CodeableConcept[spark_auto_mapper_fhir.value_sets.generic_type.GenericTypeCode]]) –
valueString (Optional[spark_auto_mapper_fhir.fhir_types.string.FhirString]) –
valueBoolean (Optional[spark_auto_mapper_fhir.fhir_types.boolean.FhirBoolean]) –
valueInteger (Optional[spark_auto_mapper_fhir.fhir_types.integer.FhirInteger]) –
valueRange (Optional[spark_auto_mapper_fhir.complex_types.range.Range]) –
valueRatio (Optional[spark_auto_mapper_fhir.complex_types.ratio.Ratio]) –
valueSampledData (Optional[spark_auto_mapper_fhir.complex_types.sampled_data.SampledData]) –
valueTime (Optional[spark_auto_mapper_fhir.fhir_types.time.FhirTime]) –
valueDateTime (Optional[spark_auto_mapper_fhir.fhir_types.date_time.FhirDateTime]) –
valuePeriod (Optional[spark_auto_mapper_fhir.complex_types.period.Period]) –
dataAbsentReason (Optional[spark_auto_mapper_fhir.complex_types.codeable_concept.CodeableConcept[spark_auto_mapper_fhir.value_sets.data_absent_reason.DataAbsentReasonCode]]) –
interpretation (Optional[spark_auto_mapper_fhir.fhir_types.list.FhirList[spark_auto_mapper_fhir.complex_types.codeable_concept.CodeableConcept[spark_auto_mapper_fhir.value_sets.observation_interpretation_codes.ObservationInterpretationCodesCode]]]) –
referenceRange (Optional[spark_auto_mapper_fhir.fhir_types.list.FhirList[spark_auto_mapper_fhir.backbone_elements.observation_reference_range.ObservationReferenceRange]]) –