HL7 v3 Reference Information Model
E755536
The HL7 v3 Reference Information Model is a foundational, formal information model that defines the data structures and relationships used for interoperable healthcare information exchange in HL7 Version 3 standards.
All labels observed (3)
| Label | Occurrences |
|---|---|
| HL7 Version 3 | 1 |
| HL7 v3 | 1 |
| HL7 v3 Reference Information Model canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8757957 — 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: HL7 v3 Reference Information Model Context triple: [HL7 International, developsStandard, HL7 v3 Reference Information Model]
-
A.
HL7 standards
HL7 standards are a widely adopted set of international specifications for the exchange, integration, sharing, and retrieval of electronic health information between healthcare systems.
-
B.
HL7 International
HL7 International is a global standards organization that develops and promotes frameworks and specifications for the exchange, integration, sharing, and retrieval of electronic health information.
-
C.
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.
-
D.
SNOMED CT
SNOMED CT is a comprehensive, multilingual clinical healthcare terminology used worldwide to standardize the recording and sharing of medical information in electronic health records.
-
E.
SNOMED International
SNOMED International is a global not-for-profit organization responsible for developing and promoting the SNOMED CT clinical terminology standard used in healthcare systems worldwide.
- 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: HL7 v3 Reference Information Model Target entity description: The HL7 v3 Reference Information Model is a foundational, formal information model that defines the data structures and relationships used for interoperable healthcare information exchange in HL7 Version 3 standards.
-
A.
HL7 standards
HL7 standards are a widely adopted set of international specifications for the exchange, integration, sharing, and retrieval of electronic health information between healthcare systems.
-
B.
HL7 International
HL7 International is a global standards organization that develops and promotes frameworks and specifications for the exchange, integration, sharing, and retrieval of electronic health information.
-
C.
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.
-
D.
SNOMED CT
SNOMED CT is a comprehensive, multilingual clinical healthcare terminology used worldwide to standardize the recording and sharing of medical information in electronic health records.
-
E.
SNOMED International
SNOMED International is a global not-for-profit organization responsible for developing and promoting the SNOMED CT clinical terminology standard used in healthcare systems worldwide.
- F. None of above. chosen
Statements (51)
| Predicate | Object |
|---|---|
| instanceOf |
HL7 standard artifact
ⓘ
healthcare information model ⓘ reference information model ⓘ |
| abbreviation | RIM NERFINISHED ⓘ |
| alsoKnownAs |
HL7 Reference Information Model
NERFINISHED
ⓘ
HL7 v3 RIM NERFINISHED ⓘ |
| characteristic |
object-oriented
ⓘ
platform-independent ⓘ semantically rich ⓘ technology-neutral ⓘ |
| defines |
attributes of healthcare information entities
ⓘ
constraints on HL7 v3 data structures ⓘ core classes for HL7 v3 information structures ⓘ relationships among healthcare information entities ⓘ |
| developedBy | Health Level Seven International NERFINISHED ⓘ |
| domain |
health informatics
ⓘ
healthcare interoperability ⓘ |
| governedBy | HL7 Modeling and Methodology work group NERFINISHED ⓘ |
| hasConcept |
classCode
ⓘ
entityClass ⓘ entityDeterminer ⓘ moodCode ⓘ participationType ⓘ roleClass ⓘ statusCode ⓘ typeCode ⓘ |
| hasCoreClass |
Act
NERFINISHED
ⓘ
ActRelationship NERFINISHED ⓘ Entity ⓘ Participation ⓘ Role ⓘ RoleLink NERFINISHED ⓘ |
| partOf | HL7 Version 3 NERFINISHED ⓘ |
| purpose |
to ensure semantic consistency across HL7 v3 messages and documents
ⓘ
to provide a formal information model for HL7 Version 3 standards ⓘ to support interoperable healthcare information exchange ⓘ |
| relatedStandard |
HL7 Clinical Document Architecture
NERFINISHED
ⓘ
HL7 v3 Messaging NERFINISHED ⓘ |
| scope | clinical and administrative healthcare information ⓘ |
| status | mature HL7 standard component ⓘ |
| supports |
HL7 v3 clinical document architecture design
NERFINISHED
ⓘ
HL7 v3 data types NERFINISHED ⓘ HL7 v3 message design NERFINISHED ⓘ HL7 v3 vocabulary bindings NERFINISHED ⓘ |
| usedAs | semantic foundation for HL7 v3 artifacts ⓘ |
| usedIn |
HL7 v3 clinical document specifications
NERFINISHED
ⓘ
HL7 v3 messaging specifications NERFINISHED ⓘ HL7 v3 service specifications NERFINISHED ⓘ |
| usedToDerive |
HL7 v3 Refined Message Information Models
NERFINISHED
ⓘ
HL7 v3 hierarchical message descriptions NERFINISHED ⓘ HL7 v3 message information models 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: HL7 v3 Reference Information Model Description of subject: The HL7 v3 Reference Information Model is a foundational, formal information model that defines the data structures and relationships used for interoperable healthcare information exchange in HL7 Version 3 standards.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
HL7 v3
this entity surface form:
HL7 Version 3