Suppr超能文献

赋能医疗教育:医疗信息学和数字健康(MIMO)的多语言本体论,与智能医院人工智能驱动的培训集成。

Empowering healthcare education: A multilingual ontology for medical informatics and digital health (MIMO) integrated to artificial intelligence powered training in smart hospitals.

机构信息

Faculty of Digital Medical Technologies, Holon Institute of Technology, Holon, Israel.

European Federation for Medical Informatics, Le Mont-sur-Lausanne, Switzerland.

出版信息

Health Informatics J. 2024 Oct-Dec;30(4):14604582241287010. doi: 10.1177/14604582241287010.

Abstract

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). 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. 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. 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.

摘要

要想在涉及健康信息学和数字健康的多学科项目中取得实际成果,全面了解专业术语至关重要。医学信息学多语种本体(MIMO)倡议是通过国际合作创建的。MIMO 不断更新,在健康术语/本体门户(HeTOP)上包含 37 种语言的 3700 多个概念。我们进行了案例研究,以评估将 MIMO 集成到现实医疗保健项目中的可行性和影响。在 HosmartAI 中,MIMO 用于在专用市场中对技术工具进行索引,并改善合作伙伴之间的沟通。然后,在 SaNuRN 中,MIMO 支持开发“数字健康教学资源目录和索引”(CIDHR),以支持健康和相关健康专业学生检索数字健康资源。在 HosmartAI 中,MIMO 有助于技术工具的索引和合作伙伴之间的互动。在 SaNuRN 中的 CIDHR 中,MIMO 确保学生和从业者能够访问最新的、多语言的和高质量的资源,以增强他们的学习努力。将 MIMO 集成到智能医院项目的培训中,使来自不同母语和知识背景的全球医疗保健学生和专家能够应对健康信息学和数字健康领域的挑战,找到创新的解决方案,以改善初始和持续教育。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验