FHIR DocumentReference
E732174
FHIR DocumentReference is a FHIR resource that represents metadata about a clinical or administrative document, including its type, status, content, and context, enabling standardized discovery and retrieval of documents across health systems.
All labels observed (1)
| Label | Occurrences |
|---|---|
| FHIR DocumentReference canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8418865 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FHIR DocumentReference Context triple: [IHE MHD, usesResourceType, FHIR DocumentReference]
-
A.
FHIR STU3
FHIR STU3 is the third major release of the HL7 Fast Healthcare Interoperability Resources standard, defining structured formats and APIs for exchanging electronic healthcare data.
-
B.
Health Connect
Health Connect is a unified health and fitness data platform on Android that lets apps securely share and manage users’ wellness information in one place.
-
C.
DICOMweb
DICOMweb is a web-based standard for accessing, storing, and exchanging medical imaging data over HTTP using RESTful services.
-
D.
FHIR R5 (preview)
FHIR R5 (preview) is the upcoming fifth major release of the HL7 Fast Healthcare Interoperability Resources standard, offering enhanced data models and interoperability features for exchanging healthcare information.
-
E.
DocSend
DocSend is a document-sharing and tracking platform designed for securely sending files and gaining analytics on how recipients engage with them.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FHIR DocumentReference Target entity description: FHIR DocumentReference is a FHIR resource that represents metadata about a clinical or administrative document, including its type, status, content, and context, enabling standardized discovery and retrieval of documents across health systems.
-
A.
FHIR STU3
FHIR STU3 is the third major release of the HL7 Fast Healthcare Interoperability Resources standard, defining structured formats and APIs for exchanging electronic healthcare data.
-
B.
Health Connect
Health Connect is a unified health and fitness data platform on Android that lets apps securely share and manage users’ wellness information in one place.
-
C.
DICOMweb
DICOMweb is a web-based standard for accessing, storing, and exchanging medical imaging data over HTTP using RESTful services.
-
D.
FHIR R5 (preview)
FHIR R5 (preview) is the upcoming fifth major release of the HL7 Fast Healthcare Interoperability Resources standard, offering enhanced data models and interoperability features for exchanging healthcare information.
-
E.
DocSend
DocSend is a document-sharing and tracking platform designed for securely sending files and gaining analytics on how recipients engage with them.
- F. None of above. chosen
Statements (82)
| Predicate | Object |
|---|---|
| instanceOf |
FHIR resource
ⓘ
metadata resource ⓘ |
| definedIn | HL7 FHIR specification NERFINISHED ⓘ |
| describes |
administrative document
ⓘ
clinical document ⓘ |
| hasDocStatus |
amended
ⓘ
entered-in-error ⓘ final ⓘ preliminary ⓘ |
| hasElement |
authenticator
ⓘ
author ⓘ basedOn ⓘ category ⓘ contained ⓘ content ⓘ content.attachment ⓘ content.format ⓘ content.profile ⓘ context ⓘ custodian ⓘ date ⓘ description ⓘ docStatus ⓘ encounter ⓘ event ⓘ extension ⓘ facilityType ⓘ id ⓘ identifier ⓘ implicitRules ⓘ language ⓘ meta ⓘ modifierExtension ⓘ period ⓘ practiceSetting ⓘ related ⓘ relatesTo ⓘ securityLabel ⓘ sourcePatientInfo ⓘ status ⓘ subject ⓘ text ⓘ type ⓘ |
| hasPrimaryPurpose |
enable retrieval of documents across health systems
ⓘ
enable standardized discovery of documents ⓘ represent metadata about a document ⓘ |
| hasReferenceTo |
Encounter
ⓘ
EpisodeOfCare ⓘ Organization NERFINISHED ⓘ Patient ⓘ Practitioner NERFINISHED ⓘ |
| hasStatus |
current
ⓘ
entered-in-error ⓘ superseded ⓘ |
| isUsedFor |
EHR interoperability
ⓘ
clinical document sharing ⓘ health information exchange ⓘ |
| isUsedIn |
FHIR R4
NERFINISHED
ⓘ
FHIR R5 NERFINISHED ⓘ |
| supportsOperation |
delete
ⓘ
history ⓘ patch ⓘ read ⓘ search ⓘ update ⓘ vread ⓘ |
| supportsSearchParameter |
author
GENERATED
ⓘ
category GENERATED ⓘ custodian GENERATED ⓘ date GENERATED ⓘ encounter GENERATED ⓘ event GENERATED ⓘ identifier GENERATED ⓘ patient GENERATED ⓘ period GENERATED ⓘ related GENERATED ⓘ setting GENERATED ⓘ status GENERATED ⓘ subject GENERATED ⓘ type GENERATED ⓘ |
| usesCodeSystem |
LOINC
NERFINISHED
ⓘ
SNOMED CT NERFINISHED ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: FHIR DocumentReference Description of subject: FHIR DocumentReference is a FHIR resource that represents metadata about a clinical or administrative document, including its type, status, content, and context, enabling standardized discovery and retrieval of documents across health systems.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.