Medical informatics and digital health multilingual ontology (MIMO): A tool to improve international collaborations.
Int J Med Inform
; 167: 104860, 2022 11.
Article
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| MEDLINE
| ID: mdl-36084537
ABSTRACT
BACKGROUND:
Even if English is the leading language for international communication, it is essential to keep in mind that research runs at the local level by local teams generally communicating in their local/national language, especially in Europe among European projects.OBJECTIVE:
Therefore, the European Federation for Medical Informatics - Working Group on Health Informatics for Inter-regional Cooperation" has oneobjective:
To develop a multilingual ontology focusing on Health Informatics and Digital Health as a collaboration tool that improves international and, in particular, European collaborations.RESULTS:
We have developed the Medical Informatics and Digital Health Multilingual Ontology (MIMO). Hosted on the Health Terminology/Ontology Portal (HeTOP), MIMO contains around 1,000 concepts, 460 MeSH Descriptors, 220 MeSH Concepts, and more than 300 newly created concepts. MIMO is continuously updated to comprise as recent as possible concepts and their translations in more than 30 languages. Moreover, the MIMO's development team constantly improves MIMO content and supporting information. Thus, during workshop discussions and one-on-one exchanges, the MIMO team has collected domain experts' opinions about the community's interests and suggestions for future enhancements. Moreover, MIMO will be integrated to support the annotation and categorization of research products into the HosmartAI European project involving more than 20 countries around Europe and worldwide.CONCLUSION:
MIMO is hosted by HeTOP (Health Terminology/Ontology Portal), which integrates 100 terminologies and ontologies in 55 languages. MIMO is freely available online. MIMO is portable to other knowledge platforms as part of MIMO's main aims to facilitate communication between medical librarians, translators, and researchers as well as to support students' self-learning.Palabras clave
Texto completo:
1
Base de datos:
MEDLINE
Asunto principal:
Informática Médica
/
Multilingüismo
Límite:
Humans
País/Región como asunto:
Europa
Idioma:
En
Revista:
Int J Med Inform
Asunto de la revista:
INFORMATICA MEDICA
Año:
2022
Tipo del documento:
Article