Department of Medical Informatics
E181463
The Department of Medical Informatics is an academic unit at the University of Tokyo’s Faculty of Medicine that focuses on the research and education of information technologies and data science in healthcare and medical practice.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Department of Medical Informatics canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1593202 — 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: Department of Medical Informatics Context triple: [Faculty of Medicine, University of Tokyo, hasDepartment, Department of Medical Informatics]
-
A.
Department of Internal Medicine
The Department of Internal Medicine at Cairo University's Faculty of Medicine is a major clinical and academic unit responsible for training physicians and providing specialized care across a wide range of adult medical subspecialties.
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B.
School of Informatics
The School of Informatics at Nagoya University is an academic division specializing in research and education in information science, computing, and related interdisciplinary fields.
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C.
Center for Clinical Standards and Quality
The Center for Clinical Standards and Quality is a division of the U.S. federal health system responsible for developing, implementing, and enforcing national healthcare quality and safety standards across Medicare- and Medicaid-participating providers.
-
D.
Department of Radiology
The Department of Radiology at University Hospital Zurich is a leading medical imaging center specializing in advanced diagnostic and interventional radiology for patient care, research, and education.
-
E.
Department of Radiology
The Department of Radiology is a medical specialty division focused on diagnosing and treating diseases using imaging technologies such as X-rays, CT, MRI, and ultrasound.
- 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: Department of Medical Informatics Target entity description: The Department of Medical Informatics is an academic unit at the University of Tokyo’s Faculty of Medicine that focuses on the research and education of information technologies and data science in healthcare and medical practice.
-
A.
Department of Informatics
The Department of Informatics at King’s College London is an academic unit focused on research and education in computer science, artificial intelligence, and related areas of information technology.
-
B.
Department of Internal Medicine
The Department of Internal Medicine at Cairo University's Faculty of Medicine is a major clinical and academic unit responsible for training physicians and providing specialized care across a wide range of adult medical subspecialties.
-
C.
School of Informatics
The School of Informatics at Nagoya University is an academic division specializing in research and education in information science, computing, and related interdisciplinary fields.
-
D.
Center for Clinical Standards and Quality
The Center for Clinical Standards and Quality is a division of the U.S. federal health system responsible for developing, implementing, and enforcing national healthcare quality and safety standards across Medicare- and Medicaid-participating providers.
-
E.
Department of Radiology
The Department of Radiology at University Hospital Zurich is a leading medical imaging center specializing in advanced diagnostic and interventional radiology for patient care, research, and education.
- F. None of above. chosen
Statements (45)
| Predicate | Object |
|---|---|
| instanceOf |
academic department
ⓘ
university department ⓘ |
| affiliation |
Faculty of Medicine, The University of Tokyo
ⓘ
The University of Tokyo NERFINISHED ⓘ |
| country | Japan ⓘ |
| educationFocus |
clinical data analysis
ⓘ
data science in healthcare ⓘ health information management ⓘ healthcare information technology ⓘ medical data management ⓘ medical informatics ⓘ |
| fieldOfWork |
biomedical informatics
ⓘ
clinical decision support systems ⓘ clinical informatics ⓘ electronic health records ⓘ health informatics ⓘ healthcare AI ⓘ healthcare data science ⓘ hospital information systems ⓘ medical informatics ⓘ medical information systems ⓘ telemedicine ⓘ |
| hasAcademicDiscipline |
computer science
ⓘ
data science ⓘ medicine ⓘ statistics ⓘ |
| languageOfWork |
English
ⓘ
Japanese ⓘ |
| locatedIn |
Bunkyo, Tokyo
ⓘ
Tokyo ⓘ |
| mission |
advancement of data-driven medical practice
ⓘ
research and education in information technologies in healthcare ⓘ |
| partOf |
Faculty of Medicine, The University of Tokyo
ⓘ
The University of Tokyo NERFINISHED ⓘ |
| researchFocus |
AI in clinical practice
ⓘ
application of information technology in medicine ⓘ clinical databases ⓘ decision support for clinicians ⓘ healthcare big data ⓘ interoperability of medical information systems ⓘ patient safety through information systems ⓘ standardization of medical data ⓘ telehealth and remote monitoring ⓘ |
| sector |
higher education
ⓘ
medical education ⓘ |
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: Department of Medical Informatics Description of subject: The Department of Medical Informatics is an academic unit at the University of Tokyo’s Faculty of Medicine that focuses on the research and education of information technologies and data science in healthcare and medical practice.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Faculty of Medicine, University of Tokyo