Represents another observation that’s a component of a parent observation or that provides supporting information, context, or warnings about the primary observation. Examples are components, previous observations, and statements of derivation.
This packaged object has a standard object counterpart in the Clinical Data Model. We recommend using the standard object because it’s more closely aligned with FHIR v4.0.
Fields
IsRestricted__c
Type: boolean
Properties: Create, Defaulted on create, Filter, Group, Sort, Update
Description: Indicates whether or not this field has restricted visibility based on sharing rules.
IsVisibleOnPatientCard__c
Type: boolean
Properties: Defaulted on create, Filter, Group
Description: Indicates whether or not this field appears on the patient card.
LastActivityDate
Type: date
Properties: Filter, Group, Nillable, Sort
Description: Whichever of the following is the most recent:
Due date of the most recent event logged against the record.
Due date of the most recently closed task associated with the record.
LastReferencedDate
Type: dateTime
Properties: Filter, Nillable, Sort
Description: The time stamp that indicates when the current user last viewed a related record.
LastViewedDate
Type: dateTime
Properties: Filter, Nillable, Sort
Description: The timestamp for when the current user last viewed this record. If this value is null, it’s possible that this record was referenced (LastReferencedDate) and not viewed.
Name
Type: string
Properties: Autonumber, Defaulted on create, Filter, idLookup, Sort
Description: The EHR related observation name. Limit: 255 characters.
Observation__c
Type: reference
Properties: Create, Filter, Group, Sort
Description: The measurements and assertions made, regarding a patient or device, that this observation is related to.
Description: The type of relationship that exists with the target observation. Picklist values: derived-from, has-component, has-member, interfered-by, qualified-by, replaces, and sequel-to.
Description: The system that defines the type of relationship that exists with the target observation.
Usage
Some observations have important relationships to other observations (for example, blood pressure = systolic + diastolic) or are derived from other observations (for example, calculated apgar score). Typically an observation has either a value or a set of related observations. Some observations (for example apgar store) can have a value and related observations (for apgar, the observations from which the measure is derived).