Empowering healthcare education: A multilingual ontology for medical informatics and digital health (MIMO) integrated to artificial intelligence powered training in smart hospitals
Objective: A comprehensive understanding of professional and technical terms is essential to achieving practical results in multidisciplinary projects dealing with health informatics and digital health. The medical informatics multilingual ontology (MIMO) initiative has been created through international cooperation. MIMO is continuously updated and comprises over 3700 concepts in 37 languages on the Health Terminology/Ontology Portal (HeTOP). Methods: We conducted case studies to assess the feasibility and impact of integrating MIMO into real-world healthcare projects. In HosmartAI, MIMO is used to index technological tools in a dedicated marketplace and improve partners’ communication. Then, in SaNuRN, MIMO supports the development of a “Catalog and Index of Digital Health Teaching Resources” (CIDHR) backing digital health resources retrieval for health and allied health students. Results: In HosmartAI, MIMO facilitates the indexation of technological tools and smooths partners’ interactions. In SaNuRN within CIDHR, MIMO ensures that students and practitioners access up-to-date, multilingual, and high-quality resources to enhance their learning endeavors. Conclusion: Integrating MIMO into training in smart hospital projects allows healthcare students and experts worldwide with different mother tongues and knowledge to tackle challenges facing the health informatics and digital health landscape to find innovative solutions improving initial and continuous education.
Authors
- Julien Grosjean (ORCID: https://orcid.org/0000-0002-7446-644X)
- Mihaela Crişan-Vida (ORCID: https://orcid.org/0000-0002-7349-8685)
- Patrick Weber (ORCID: https://orcid.org/0000-0002-4994-3419)
- Flavien Disson (ORCID: https://orcid.org/0000-0001-8793-4305)
- Lăcrămioara Stoicu-Tivadar (ORCID: https://orcid.org/0000-0001-9700-7732)
- Pascal Staccini (ORCID: https://orcid.org/0000-0002-7608-4066)
- Stéfan Darmoni (ORCID: https://orcid.org/0000-0002-7162-318X)
- Arriel Benis (ORCID: https://orcid.org/0000-0002-9125-8300)
Institutions
- Inserm (FR)
- Holon Institute of Technology (IL)
- European Society for Medical Oncology (CH)
- Polytechnic University of Timişoara (RO)
- Sorbonne Université (FR)
- Institut de Chimie de Nice (FR)
- Laboratoire d'Informatique Médicale et d'Ingénierie des Connaissances en e-Santé
- Université de Rouen Normandie (FR)
Publication Details
- Journal
- Health Informatics Journal
- Published
- 2024-10-01
- DOI
- https://doi.org/10.1177/14604582241287010
- Citations
- 1
- Primary Topic
- Biomedical Text Mining and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 0.23