Evidence map›Paper›PMID 41792043›Full record

ArticleMedical education online2026

Assessing the integration of digitalization and AI in general medicine curricula in German-speaking Europe: a comprehensive survey.

Anika Zahn, Martin Mücke, Julia Sellin, Gülay Ateş

Abstract read
In one paragraph

Article in Medical education online, 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
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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

4 authors.

Anika ZahnInstitute for Digitalization and General Medicine, Center for Rare Diseases Aachen (ZSEA), Medical Faculty, RWTH Aachen University, RWTH Aachen University, Aachen, Germany.
Martin MückeInstitute for Digitalization and General Medicine, Center for Rare Diseases Aachen (ZSEA), Medical Faculty, RWTH Aachen University, RWTH Aachen University, Aachen, Germany.ORCID 0000-0002-9275-9035
Julia SellinInstitute for Digitalization and General Medicine, Center for Rare Diseases Aachen (ZSEA), Medical Faculty, RWTH Aachen University, RWTH Aachen University, Aachen, Germany.
Gülay AteşInstitute for Digitalization and General Medicine, Center for Rare Diseases Aachen (ZSEA), Medical Faculty, RWTH Aachen University, RWTH Aachen University, Aachen, Germany.ORCID 0009-0007-9791-3920

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe integration of digitalisation, including artificial intelligence (AI), is becoming increasingly important in healthcare. It is transforming areas such as diagnostics, therapeutic planning and patient monitoring. However, research indicates that many medical students and physicians feel unprepared to use these technologies in their daily practice. This study provides insights into the opportunities and challenges of integrating digitalisation and AI into medical curricula with a focus on general medicine curricula in German-speaking European countries.

objectiveThe objectives are to assess the perceived importance of digital and AI topics in medical education, evaluate the status of their integration into general medicine curricula and identify the challenges of their implementation.

designA sequential mixed-methods approach was used. First, a qualitative analysis of documents from university websites was conducted. Subsequently, 59 general medicine departments in Austria, Germany and Switzerland were invited to participate in a quantitative anonymous online survey. Descriptive statistics were analysed using SPSS 30.0.

resultsThe survey was completed by half of Austrian universities and more than one-third of the German universities. None of the Swiss universities responded, resulting in a total response rate of 28.3%. The results reveal discrepancies between perceived importance and actual implementation, indicating a clear need for more courses on digitalisation and AI in medicine for medical students. Identified challenges with impact on limited implementation (especially of AI-related topics) were curriculum overload, a lack of qualified lecturers, lack of materials and a lack of resources.

conclusionsGeneral medicine is the largest segment of healthcare services in Austria and Germany. Respondents highlighted a strong demand for digitalisation and AI to be integrated into general medicine curricula, which is consistent with other studies and the current literature. Our results underscore the urgent need for the systematic inclusion of competencies regarding digital tools and AI to adequately prepare future physicians for real-world challenges.

Indexed as

Artificial IntelligenceCurriculumEducation, MedicalGeneral PracticeAustriaDigital HealthGermanyHumansSurveys and QuestionnairesSwitzerlandartificial intelligencechallengescurricula integrationDigitalisationgeneral medicineGerman-speaking Europemixed-methods analysis

Identifiers

PMID41792043
PMCPMC12973773

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.