Evidence map›Paper›PMID 41417043›Full record

SynthesisHNO2026

[Digital examinations in medical education: a systematic overview with practical recommendations].

Peter Brüstle

Abstract readEnglish AbstractSystematic Review
PubMed Publisher
In one paragraph

Synthesis in HNO, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Peter BrüstleStudiendekanat der Medizinischen Fakultät, Albert-Ludwigs-Universität Freiburg, Breisacher Str. 153, 79110, Freiburg, Deutschland. peter.bruestle@uniklinik-freiburg.de.ORCID http://orcid.org/0009-0008-5781-5020

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digitalization opens up a wide range of didactic and organizational possibilities for examinations in medical curricula. This article provides a systematic overview of the potential, challenges, and current implementation scenarios of digital examinations-from computer-based exams and video-based formats to virtual reality applications. The focus lies on both the didactic opportunities for assessing medical competencies and on the new challenges related to organization, technology, and legal certainty. The article also highlights the dynamic role of artificial intelligence. Its integration creates new possibilities for formative and competence-oriented assessment but also raises questions regarding equal opportunities, fraud prevention, and ethical considerations. The successful implementation of digital examinations requires a clear orientation towards didactic goals, close cooperation among various university stakeholders, and continuous professional development. Overall, it is evident that digital examinations contribute to increased efficiency and improved examination quality, while also requiring ongoing evaluation and continuous improvement.

Indexed as

Computer-Assisted InstructionEducational MeasurementEducation, MedicalClinical CompetenceCurriculumGermanyHumansArtificial intelligence in assessmentAssessment administration and managementCompetency-based assessmentElectronic assessment formatsSimulation-based assessment

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.