Sharing Digital Health Educational Resources in a One-Stop Shop Portal: Tutorial on the Catalog and Index of Digital Health Teaching Resources (CIDHR) Semantic Search Engine.

French controlled curriculum digital health educational personnel knowledge management language medical education medical informatics search engine semantic web students teaching vocabulary

Journal

JMIR medical education
ISSN: 2369-3762
Titre abrégé: JMIR Med Educ
Pays: Canada
ID NLM: 101684518

Informations de publication

Date de publication:
04 Mar 2024
Historique:
received: 21 04 2023
accepted: 18 12 2023
revised: 13 10 2023
medline: 5 3 2024
pubmed: 4 3 2024
entrez: 4 3 2024
Statut: epublish

Résumé

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.

Sections du résumé

BACKGROUND BACKGROUND
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.
OBJECTIVE OBJECTIVE
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.
METHODS METHODS
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.
RESULTS RESULTS
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.
CONCLUSIONS CONCLUSIONS
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.

Identifiants

pubmed: 38437007
pii: v10i1e48393
doi: 10.2196/48393
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e48393

Informations de copyright

©Julien Grosjean, Arriel Benis, Jean-Charles Dufour, Émeline Lejeune, Flavien Disson, Badisse Dahamna, Hélène Cieslik, Romain Léguillon, Matthieu Faure, Frank Dufour, Pascal Staccini, Stéfan Jacques Darmoni. Originally published in JMIR Medical Education (https://mededu.jmir.org), 04.03.2024.

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Auteurs

Julien Grosjean (J)

Department of Digital Health, Rouen University Hospital, Rouen, France.
LIMICS, INSERM U1142, Sorbonne Université, Paris, France.

Arriel Benis (A)

Department of Digital Medical Technologies, Holon Institute of Technology, Holon, Israel.
European Federation for Medical Informatics, Le Mont-sur-Lausanne, Switzerland.

Jean-Charles Dufour (JC)

SESSTIM, Aix Marseille Univ, APHM, INSERM, IRD, Hop Timone, BioSTIC, Marseille, France.

Émeline Lejeune (É)

Department of Digital Health, Rouen University Hospital, Rouen, France.

Flavien Disson (F)

Department of Digital Health, Rouen University Hospital, Rouen, France.

Badisse Dahamna (B)

Department of Digital Health, Rouen University Hospital, Rouen, France.
LIMICS, INSERM U1142, Sorbonne Université, Paris, France.

Hélène Cieslik (H)

Department of Digital Health, Rouen University Hospital, Rouen, France.

Romain Léguillon (R)

Department of Digital Health, Rouen University Hospital, Rouen, France.
LIMICS, INSERM U1142, Sorbonne Université, Paris, France.
Department of Pharmacy, Rouen University Hospital, Rouen, France.

Matthieu Faure (M)

Délégation du Numérique en Santé, Paris, France.

Frank Dufour (F)

RETINES, Université de Nice Côté d'Azur, Nice, France.

Pascal Staccini (P)

RETINES, Université de Nice Côté d'Azur, Nice, France.

Stéfan Jacques Darmoni (SJ)

Department of Digital Health, Rouen University Hospital, Rouen, France.
LIMICS, INSERM U1142, Sorbonne Université, Paris, France.
European Federation for Medical Informatics, Le Mont-sur-Lausanne, Switzerland.

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Classifications MeSH