Department of Medical Informatics
E501628
The Department of Medical Informatics is an academic division at Kobe University's Graduate School of Medicine that focuses on the research and education of information technologies and data management in healthcare and medical science.
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 T5195199 — 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: [Graduate School of Medicine, Kobe University, hasDivision, Department of Medical Informatics]
-
A.
Department of Medical Informatics
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.
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B.
Department of Medical Informatics
The Department of Medical Informatics is an academic unit at Tohoku University's Faculty of Medicine that focuses on the application of information science and technology to healthcare, clinical practice, and biomedical research.
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C.
Department of Biomedical Informatics
The Department of Biomedical Informatics is an academic division specializing in the application of information science, data analysis, and computational methods to biomedical and clinical research within Osaka University's Graduate School of Medicine.
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D.
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.
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E.
Department of Medicine
The Department of Medicine at AIIMS Delhi is a leading academic and clinical center in India, renowned for advanced patient care, medical education, and research in internal medicine.
- 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 division at Kobe University's Graduate School of Medicine that focuses on the research and education of information technologies and data management in healthcare and medical science.
-
A.
Department of Medical Informatics
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.
-
B.
Department of Medical Informatics
The Department of Medical Informatics is an academic unit at Tohoku University's Faculty of Medicine that focuses on the application of information science and technology to healthcare, clinical practice, and biomedical research.
-
C.
Department of Biomedical Informatics
The Department of Biomedical Informatics is an academic division specializing in the application of information science, data analysis, and computational methods to biomedical and clinical research within Osaka University's Graduate School of Medicine.
-
D.
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.
-
E.
Department of Medicine
The Department of Medicine at AIIMS Delhi is a leading academic and clinical center in India, renowned for advanced patient care, medical education, and research in internal medicine.
- F. None of above. chosen
Statements (53)
| Predicate | Object |
|---|---|
| instanceOf |
academic department
ⓘ
medical informatics department ⓘ |
| country | Japan ⓘ |
| fieldOfWork |
bioinformatics
ⓘ
biomedical informatics ⓘ clinical data warehousing ⓘ clinical decision support systems ⓘ clinical epidemiology ⓘ clinical informatics ⓘ clinical quality improvement ⓘ clinical research informatics ⓘ clinical trial data management ⓘ clinical workflow optimization ⓘ data science in medicine ⓘ data-driven healthcare ⓘ electronic health records ⓘ evidence-based medicine support ⓘ health informatics ⓘ health information privacy ⓘ health information systems ⓘ healthcare data security ⓘ healthcare data visualization ⓘ healthcare information technology ⓘ healthcare interoperability standards ⓘ healthcare policy informatics ⓘ healthcare quality and safety ⓘ hospital information systems ⓘ machine learning in healthcare ⓘ medical AI applications ⓘ medical big data ⓘ medical data analysis ⓘ medical data management ⓘ medical education informatics ⓘ medical image informatics ⓘ medical informatics ⓘ medical information ethics ⓘ medical information management ⓘ medical statistics ⓘ natural language processing in medicine ⓘ personal health records ⓘ population health data analysis ⓘ public health informatics ⓘ registry-based research ⓘ telemedicine ⓘ |
| hasEducationalRole |
education in healthcare information technologies
ⓘ
education in medical data management ⓘ graduate education in medical informatics ⓘ research training in medical informatics ⓘ |
| locatedIn |
Hyogo Prefecture
NERFINISHED
ⓘ
Japan ⓘ Kobe NERFINISHED ⓘ |
| partOf |
Graduate School of Medicine, Kobe University
NERFINISHED
ⓘ
Kobe University 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: Department of Medical Informatics Description of subject: The Department of Medical Informatics is an academic division at Kobe University's Graduate School of Medicine that focuses on the research and education of information technologies and data management in healthcare and medical science.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Graduate School of Medicine, Kobe University