Grosjean Julien, Benis Arriel, Dufour Jean-Charles, Lejeune Émeline, Disson Flavien, Dahamna Badisse, Cieslik Hélène, Léguillon Romain, Faure Matthieu, Dufour Frank, Staccini Pascal, Darmoni Stéfan Jacques
Department of Digital Health, Rouen University Hospital, Rouen, France.
LIMICS, INSERM U1142, Sorbonne Université, Paris, France.
JMIR Med Educ. 2024 Mar 4;10:e48393. doi: 10.2196/48393.
Access to reliable and accurate digital health web-based resources is crucial. However, the lack of dedicated search engines for non-English languages, such as French, is a significant obstacle in this field. Thus, we developed and implemented a multilingual, multiterminology semantic search engine called Catalog and Index of Digital Health Teaching Resources (CIDHR). CIDHR is freely accessible to everyone, with a focus on French-speaking resources. CIDHR has been initiated to provide validated, high-quality content tailored to the specific needs of each user profile, be it students or professionals.
This study's primary aim in developing and implementing the CIDHR is to improve knowledge sharing and spreading in digital health and health informatics and expand the health-related educational community, primarily French speaking but also in other languages. We intend to support the continuous development of initial (ie, bachelor level), advanced (ie, master and doctoral levels), and continuing training (ie, professionals and postgraduate levels) in digital health for health and social work fields. The main objective is to describe the development and implementation of CIDHR. The hypothesis guiding this research is that controlled vocabularies dedicated to medical informatics and digital health, such as the Medical Informatics Multilingual Ontology (MIMO) and the concepts structuring the French National Referential on Digital Health (FNRDH), to index digital health teaching and learning resources, are effectively increasing the availability and accessibility of these resources to medical students and other health care professionals.
First, resource identification is processed by medical librarians from websites and scientific sources preselected and validated by domain experts and surveyed every week. Then, based on MIMO and FNRDH, the educational resources are indexed for each related knowledge domain. The same resources are also tagged with relevant academic and professional experience levels. Afterward, the indexed resources are shared with the digital health teaching and learning community. The last step consists of assessing CIDHR by obtaining informal feedback from users.
Resource identification and evaluation processes were executed by a dedicated team of medical librarians, aiming to collect and curate an extensive collection of digital health teaching and learning resources. The resources that successfully passed the evaluation process were promptly included in CIDHR. These resources were diligently indexed (with MIMO and FNRDH) and tagged for the study field and degree level. By October 2023, a total of 371 indexed resources were available on a dedicated portal.
CIDHR is a multilingual digital health education semantic search engine and platform that aims to increase the accessibility of educational resources to the broader health care-related community. It focuses on making resources "findable," "accessible," "interoperable," and "reusable" by using a one-stop shop portal approach. CIDHR has and will have an essential role in increasing digital health literacy.
获取可靠且准确的基于网络的数字健康资源至关重要。然而,缺乏针对非英语语言(如法语)的专用搜索引擎是该领域的一个重大障碍。因此,我们开发并实施了一个名为数字健康教学资源目录与索引(CIDHR)的多语言、多术语语义搜索引擎。CIDHR对所有人免费开放,重点关注法语资源。启动CIDHR是为了提供针对每个用户群体(无论是学生还是专业人员)特定需求的经过验证的高质量内容。
本研究开发和实施CIDHR的主要目的是改善数字健康和健康信息学领域的知识共享与传播,并扩大与健康相关的教育社区,主要是说法语的社区,但也包括其他语言的社区。我们旨在支持数字健康领域针对健康和社会工作领域的初始(即本科水平)、高级(即硕士和博士水平)以及继续培训(即专业人员和研究生水平)的持续发展。主要目标是描述CIDHR的开发与实施情况。指导本研究的假设是,用于索引数字健康教学和学习资源的专门针对医学信息学和数字健康的受控词汇表,如医学信息学多语言本体(MIMO)和构建法国数字健康国家参考标准(FNRDH)的概念,正在有效提高这些资源对医学生和其他医疗保健专业人员的可用性和可及性。
首先,由医学图书馆员从经过领域专家预先筛选和验证且每周进行调查的网站和科学来源中进行资源识别。然后,基于MIMO和FNRDH,为每个相关知识领域对教育资源进行索引。相同的资源也会标注相关的学术和专业经验水平。之后,将索引后的资源与数字健康教学和学习社区共享。最后一步是通过获取用户的非正式反馈来评估CIDHR。
资源识别和评估过程由一支专门的医学图书馆员团队执行,旨在收集和整理大量的数字健康教学和学习资源。成功通过评估过程的资源被迅速纳入CIDHR。这些资源经过精心索引(使用MIMO和FNRDH)并标注了研究领域和学位水平。截至2023年10月,在一个专用门户网站上共有371个索引资源可供使用。
CIDHR是一个多语言数字健康教育语义搜索引擎和平台,旨在提高教育资源对更广泛的医疗保健相关社区的可及性。它通过一站式门户网站方法致力于使资源“可查找”“可访问”“可互操作”和“可重复使用”。CIDHR在提高数字健康素养方面已经并将继续发挥重要作用。