ArticleJMIR medical education2020
Medical Student Training in eHealth: Scoping Review.
Article in JMIR medical education, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
What it found
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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.
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.
Who cites it
27 citing papers in PubMed, 61 citations in OpenAlex.
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- Clinical Informatics Education to Advance Learning Health Systems: A Scoping Review.Learning health systems · 2026Article
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- Co-Design of an Escape Room for e-Mental Health Training of Mental Health Care Professionals: Research Through Design Study.JMIR formative research · 2025Article
- Transforming GP training in the UK: the lasting impact of COVID-19 on telehealth and hybrid care models.Frontiers in medicine · 2025Article
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- Medical Education and Artificial Intelligence: Web of Science-Based Bibliometric Analysis (2013-2022).JMIR medical education · 2024Article
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- Fostering Digital Health in Universities: An Experience of the First Junior Scientific Committee of the Brazilian Congress of Health Informatics.Healthcare informatics research · 2024Article
- Digital Health Training, Attitudes and Intentions to Use It among Romanian Medical Students: A Study Performed during COVID-19 Pandemic.Healthcare (Basel, Switzerland) · 2023Article
- Necessity and Importance of Developing AI in Anesthesia from the Perspective of Clinical Safety and Information Security.Medical science monitor : international medical journal of experimental and clinical research · 2023Review
- Clinical informatics training in medical school education curricula: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Measuring the Digital Skills of Catalan Health Care Professionals as a Key Step Toward a Strategic Training Plan: Digital Competence Test Validation Study.Journal of medical Internet research · 2022Observational
- Virtual Care and the Inverse Care Law: Implications for Policy, Practice, Research, Public and Patients.International journal of environmental research and public health · 2022Article
- Technology Literacy in Undergraduate Medical Education: Review and Survey of the US Medical School Innovation and Technology Programs.JMIR medical education · 2022Article
- Investigating the Use of Telemedicine for Digitally Mediated Delegation in Team-Based Primary Care: Mixed Methods Study.Journal of medical Internet research · 2021Article
- A qualitative exploration of medical students' placement experiences with telehealth during COVID-19 and recommendations to prepare our future medical workforce.BMC medical education · 2021Article
- Use of Telemedicine in Depression Care by Physicians: Scoping Review.JMIR formative research · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundeHealth is the use of information and communication technologies to enable and improve health and health care services. It is crucial that medical students receive adequate training in eHealth as they will work in clinical environments that are increasingly being enabled by technology. This trend is especially accelerated by the COVID-19 pandemic as it complicates traditional face-to-face medical consultations and highlights the need for innovative approaches in health care.
objectiveThis review aims to evaluate the extent and nature of the existing literature on medical student training in eHealth. In detail, it aims to examine what this education consists of, the barriers, enhancing factors, and propositions for improving the medical curriculum. This review focuses primarily on some key technologies such as mobile health (mHealth), the internet of things (IoT), telehealth, and artificial intelligence (AI).
methodsSearches were performed on 4 databases, and articles were selected based on the eligibility criteria. Studies had to be related to the training of medical students in eHealth. The eligibility criteria were studies published since 2014, from a peer-reviewed journal, and written in either English or French. A grid was used to extract and chart data.
resultsThe search resulted in 25 articles. The most studied aspect was mHealth. eHealth as a broad concept, the IoT, AI, and programming were least covered. A total of 52% (13/25) of all studies contained an intervention, mostly regarding mHealth, electronic health records, web-based medical resources, and programming. The findings included various barriers, enhancing factors, and propositions for improving the medical curriculum.
conclusionsTrends have emerged regarding the suboptimal present state of eHealth training and barriers, enhancing factors, and propositions for optimal training. We recommend that additional studies be conducted on the following themes: barriers, enhancing factors, propositions for optimal training, competencies that medical students should acquire, learning outcomes from eHealth training, and patient care outcomes from this training. Additional studies should be conducted on eHealth and each of its aspects, especially on the IoT, AI, programming, and eHealth as a broad concept. Training in eHealth is critical to medical practice in clinical environments that are increasingly being enabled by technology. The need for innovative approaches in health care during the COVID-19 pandemic further highlights the relevance of this training.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.