IHE Eye Care
E198800
IHE Eye Care is a domain-specific initiative within the Integrating the Healthcare Enterprise (IHE) framework that defines standards-based profiles to improve interoperability and information sharing in ophthalmology and eye care.
All labels observed (4)
| Label | Occurrences |
|---|---|
| IHE Eye Care canonical | 1 |
| IHE Eye Care Technical Framework | 1 |
| IHE Eye Care domain committee | 1 |
| Integrating the Healthcare Enterprise Eye Care | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1776644 — 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: IHE Eye Care Context triple: [Integrating the Healthcare Enterprise, hasComponent, IHE Eye Care]
-
A.
Moran Eye Center
Moran Eye Center is a leading academic ophthalmology and vision research institute known for providing advanced eye care, education, and innovative research in partnership with the University of Utah.
-
B.
Wilmer Eye Institute
Wilmer Eye Institute is a leading academic ophthalmology center renowned for its pioneering eye care, research, and education.
-
C.
Casey Eye Institute
Casey Eye Institute is a leading academic eye care and vision research center affiliated with Oregon Health & Science University, known for advanced clinical services and ophthalmologic research.
-
D.
Bausch + Lomb
Bausch + Lomb is a global eye health company best known for its contact lenses, lens care products, and ophthalmic pharmaceuticals.
-
E.
Massachusetts Eye and Ear
Massachusetts Eye and Ear is a renowned Boston-based specialty hospital and research center focused on ophthalmology and otolaryngology.
- 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: IHE Eye Care Target entity description: IHE Eye Care is a domain-specific initiative within the Integrating the Healthcare Enterprise (IHE) framework that defines standards-based profiles to improve interoperability and information sharing in ophthalmology and eye care.
-
A.
Moran Eye Center
Moran Eye Center is a leading academic ophthalmology and vision research institute known for providing advanced eye care, education, and innovative research in partnership with the University of Utah.
-
B.
Wilmer Eye Institute
Wilmer Eye Institute is a leading academic ophthalmology center renowned for its pioneering eye care, research, and education.
-
C.
Casey Eye Institute
Casey Eye Institute is a leading academic eye care and vision research center affiliated with Oregon Health & Science University, known for advanced clinical services and ophthalmologic research.
-
D.
Bausch + Lomb
Bausch + Lomb is a global eye health company best known for its contact lenses, lens care products, and ophthalmic pharmaceuticals.
-
E.
Massachusetts Eye and Ear
Massachusetts Eye and Ear is a renowned Boston-based specialty hospital and research center focused on ophthalmology and otolaryngology.
- F. None of above. chosen
Statements (42)
| Predicate | Object |
|---|---|
| instanceOf |
IHE domain
ⓘ
healthcare interoperability initiative ⓘ |
| addresses |
clinical data exchange in ophthalmology
ⓘ
image and report sharing in eye care ⓘ integration of ophthalmic imaging modalities with electronic health records ⓘ interoperability between ophthalmic devices and information systems ⓘ workflow integration in eye care ⓘ |
| aimsTo |
improve information sharing in ophthalmology
ⓘ
improve interoperability in eye care ⓘ |
| belongsToCategory |
health information technology
ⓘ
healthcare interoperability standards ⓘ medical informatics ⓘ |
| contributesTo |
clinical data consistency in ophthalmology
ⓘ
reduction of custom point-to-point interfaces in eye care ⓘ vendor-neutral interoperability in ophthalmology ⓘ |
| defines | standards-based interoperability profiles ⓘ |
| encourages |
conformance testing of eye care systems
ⓘ
use of open standards in ophthalmology IT ⓘ |
| focusesOn |
eye care
ⓘ
ophthalmology ⓘ |
| hasFullName |
IHE Eye Care
self-linksurface differs
ⓘ
surface form:
Integrating the Healthcare Enterprise Eye Care
|
| hasScope |
clinical workflows in eye care
ⓘ
data exchange between ophthalmic devices and EHRs ⓘ diagnostic imaging in ophthalmology ⓘ structured reporting in eye care ⓘ |
| isGovernedBy |
IHE Eye Care
self-linksurface differs
ⓘ
surface form:
IHE Eye Care domain committee
|
| partOf | Integrating the Healthcare Enterprise ⓘ |
| publishes |
IHE Eye Care
self-linksurface differs
ⓘ
surface form:
IHE Eye Care Technical Framework
integration profiles for eye care workflows ⓘ |
| relatesTo |
clinical information systems in eye care
ⓘ
electronic health records ⓘ ophthalmic imaging systems ⓘ picture archiving and communication systems ⓘ |
| supports |
DICOM standard
ⓘ
surface form:
DICOM
HL7 International ⓘ
surface form:
HL7
standards-based image and report exchange ⓘ |
| targets |
eye care providers
ⓘ
health IT vendors in eye care ⓘ ophthalmic device manufacturers ⓘ ophthalmologists ⓘ |
| uses |
IHE integration profiles
ⓘ
IHE ⓘ
surface form:
IHE technical framework
|
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: IHE Eye Care Description of subject: IHE Eye Care is a domain-specific initiative within the Integrating the Healthcare Enterprise (IHE) framework that defines standards-based profiles to improve interoperability and information sharing in ophthalmology and eye care.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Integrating the Healthcare Enterprise Eye Care
this entity surface form:
IHE Eye Care domain committee
this entity surface form:
IHE Eye Care Technical Framework