ArticleBMC medical education2025
EU protection requirements for ePortfolios in clinical healthcare education.
Article in BMC medical education, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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
1 citing paper in PubMed.
- Artificial Intelligence and Predictive Modelling for Precision Dosing of Immunosuppressants in Kidney Transplantation.Pharmaceuticals (Basel, Switzerland) · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
backgroundWhen using ePortfolios in healthcare education, the collection and processing of personal data from various stakeholders, also known as data subjects (e.g., students, mentors, supervisors) is inevitable. This is why it is crucial to identify the stakeholders who need to comply with legal obligations imposed by data protection law, and to assess the legal grounds for processing personal (health) data. Research on the legal aspects of such ePortfolios is lacking. Therefore, the aim of this study was to identify and document the data protection requirements for ePortfolios in clinical healthcare education that apply in the EU.
methodsDesk research based on a traditional legal analysis of legislation, policy documents, guidelines, case law, and legal doctrine was performed during a multidisciplinary ePortfolio research project.
resultsThe analysis resulted in a description of the relevant EU data protection requirements covering the Charter of Fundamental Rights and the General Data Protection Regulation, a translation of these legal requirements into the context of ePortfolios in clinical healthcare education and the formulation of recommendations for data protection compliance based on these insights: (1) the duties and responsibilities of educational institutions and the healthcare student must be clarified in an agreement before the start of an internship, (2) '(substantial) public interest' is the most appropriate legal basis for the processing of health data in ePortfolios, and (3) adequate and appropriate measures to protect the fundamental rights and interests of the data subjects must be provided.
conclusionThis study contributes to the limited literature on the legal aspects of the use of digital technologies, such as ePortfolios, in healthcare education. There is a need for rigorous evidence on how to design legally compliant ePortfolios for healthcare education.
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.