Evidence map›Paper›PMID 38693686›Full record

ArticleJMIR medical education2024

Digital Health Education for the Future: The SaNuRN (Santé Numérique Rouen-Nice) Consortium's Journey.

Julien Grosjean, Frank Dufour, Arriel Benis, Jean-Marie Januel, Pascal Staccini, Stéfan Jacques Darmoni

Abstract read
In one paragraph

Article in JMIR medical education, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Julien Grosjean *Department of Biomedical Informatics, Rouen University Hospital, Rouen, France.ORCID 0000-0002-7446-644X
Frank Dufour *URE Risk Epidemiology Territory INformatics Education and Health (RETINES), Université Côte d'Azur, Nice, France.ORCID 0009-0001-1435-9132
Arriel BenisDepartment of Digital Medical Technologies, Holon Institute of Technology, Holon, Israel.ORCID 0000-0002-9125-8300
Jean-Marie JanuelDepartment of Biomedical Informatics, Rouen University Hospital, Rouen, France.ORCID 0000-0001-5857-6553
Pascal StacciniURE Risk Epidemiology Territory INformatics Education and Health (RETINES), Université Côte d'Azur, Nice, France.ORCID 0000-0002-7608-4066
Stéfan Jacques DarmoniDepartment of Biomedical Informatics, Rouen University Hospital, Rouen, France.ORCID 0000-0002-7162-318X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SaNuRN is a five-year project by the University of Rouen Normandy (URN) and the Côte d’Azur University (CAU) consortium to optimize digital health education for medical and paramedical students, professionals, and administrators. The project includes a skills framework, training modules, and teaching resources. In 2027, SaNuRN is expected to train a significant portion of the 400,000 health and paramedical professions students at the French national level. Our purpose is to give a synopsis of the SaNuRN initiative, emphasizing its novel educational methods and how they will enhance the delivery of digital health education. Our goals include showcasing SaNuRN as a comprehensive program consisting of a proficiency framework, instructional modules, and educational materials and explaining how SaNuRN is implemented in the participating academic institutions. SaNuRN is a project aimed at educating and training health-related and paramedics students in digital health. The project results from a cooperative effort between URN and CAU, covering four French departments. The project is based on the French National Referential on Digital Health (FNRDH), which defines the skills and competencies to be acquired and validated by every student in the health, paramedical, and social professions curricula. The SaNuRN team is currently adapting the existing URN and CAU syllabi to FNRDH and developing short-duration video capsules of 20 to 30 minutes to teach all the relevant material. The project aims to ensure that the largest student population earns the necessary skills, and it has developed a two-tier system involving facilitators who will enable the efficient expansion of the project’s educational outreach and support the students in learning the needed material efficiently. With a focus on real-world scenarios and innovative teaching activities integrating telemedicine devices and virtual professionals, SaNuRN is committed to enabling continuous learning for healthcare professionals in clinical practice. The SaNuRN team introduced new ways of evaluating healthcare professionals by shifting from a knowledge-based to a competencies-based evaluation, aligning with the Miller teaching pyramid and using the Objective Structured Clinical Examination and Script Concordance Test in digital health education. Drawing on the expertise of URN, CAU, and their public health and digital research laboratories and partners, the SaNuRN project represents a platform for continuous innovation, including telemedicine training and living labs with virtual and interactive professional activities. The SaNuRN project provides a comprehensive, personalized 30-hour training package for health and paramedical students, addressing all 70 FNRDH competencies. The program is enhanced using AI and NLP to create virtual patients and professionals for digital healthcare simulation. SaNuRN teaching materials are open-access. The project collaborates with academic institutions worldwide to develop educational material in digital health in English and multilingual formats. SaNuRN offers a practical and persuasive training approach to meet the current digital health education requirements.

Indexed as

Health EducationEducation, DistanceForecastingaccess to informationcapacity buildingcompetency-based learningcurriculumdigital healtheducatione-learninghealth educationhybrid learningmedical informaticsmedical simulationobjective structured clinical examinationopen accessopen dataOSCEprogram developmentscript concordance testSCTskills frameworkstudentsteaching materialstelemedicine trainingvirtual patient

Identifiers

PMID38693686
PMCPMC11082434

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.