Evidence map›Paper›PMID 40402286›Full record

ArticleChirurgie (Heidelberg, Germany)2025

[Is the application of digital technologies the game changer for surgical training of the future? A Germany-wide analysis].

Dolores T Krauss, Hans F Fuchs, Sebastian Schaaf, Sabine Drossard, Romina Rösch, Beate Blank, Christiane J Bruns, Udo Rolle, Thomas Schmitz-Rixen, Juliane Kröplin

Abstract readEnglish Abstract
In one paragraph

Article in Chirurgie (Heidelberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Dolores T KraussKlinik und Poliklinik für Allgemein‑, Viszeral‑, Thorax- und Transplantationschirurgie, Medizinische Fakultät und Uniklinik Köln, Universität zu Köln, Kerpener Str. 62, 50937, Köln, Deutschland. dolores.krauss@uk-koeln.de.
Hans F FuchsKlinik und Poliklinik für Allgemein‑, Viszeral‑, Thorax- und Transplantationschirurgie, Medizinische Fakultät und Uniklinik Köln, Universität zu Köln, Kerpener Str. 62, 50937, Köln, Deutschland.
Sebastian SchaafViszeral- und Thoraxchirurgie, Bundeswehrzentralkrankenhaus Koblenz, Perspektivforum Junge Chirurgie der Deutschen Gesellschaft für Chirurgie und Klinik für Allgemein-, Koblenz, Deutschland.
Sabine DrossardKlinik und Poliklinik für Allgemein‑, Viszeral‑, Transplantations‑, Gefäß- und Kinderchirurgie, Universitätsklinikum Würzburg, Oberdürrbacher Str. 6, 97080, Würzburg, Deutschland.
Romina RöschThoraxklinik Heidelberg der Universitätsklinik Heidelberg, Röntgenstraße 1, 69126, Heidelberg, Deutschland.
Beate BlankDr. Erler Kliniken, Handchirurgie, Plastische und Mikrochirurgie, Kontumazgarten 4-19, 90429, Nürnberg, Deutschland.
Christiane J BrunsKlinik und Poliklinik für Allgemein‑, Viszeral‑, Thorax- und Transplantationschirurgie, Medizinische Fakultät und Uniklinik Köln, Universität zu Köln, Kerpener Str. 62, 50937, Köln, Deutschland.
Udo RolleKlinik für Kinderchirurgie und Kinderurologie, Universitätsklinikum Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Deutschland.
Thomas Schmitz-RixenDeutsche Gesellschaft für Chirurgie e. V., Berlin, Deutschland.
Juliane KröplinKlinik für Mund‑, Kiefer- und Plastische Gesichtschirurgie, Universitätsmedizin Rostock, Schillingallee 35, 18057, Rostock, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe use of digital technologies is becoming increasingly important in medicine and is having a significant impact on developments in the surgical field. However, there is a great need to improve and implement those new techniques in surgical education and training in order to adequately prepare young surgeons for associated challenges.

objectivesThe aim of this study is to analyze the importance, use, and influence of digital technology on the success of future surgical training in Germany. MATERIALS AND

methodsAn online survey was conducted from April-September 2024 with a total of 12 open (n = 2) and standardized (n = 10) questions. The closed questions could be answered on a Likert scale from 1 (strongly agree) to 5 (strongly disagree). The questionnaire was sent out via the email distribution list of the German Society of Surgery and its social media channels.

resultsA total of 97 response datasets were analyzed. At the time of analysis, the majority of participants were working in general surgery (n = 54, 64%) and at a nonuniversity clinic (n = 49, 58%). In all, 19% of the respondents were residents. When choosing their current workplace, 44% prioritized advanced digitalization, while 61% stated that they had not yet used generative AI at all. Only 9% of trainees had access to curricular training on robotic systems. A change to a location with more advanced medical technology was considered by 19%. While 26% of study participants would consider being operated on by an AI-assisted robotic system, 46% of the participants could imagine using this technology on their patients.

conclusionThis analysis provides insight into the importance and use of digital technology in surgery in Germany. In particular, it reveals deficits in the use of AI-based methods, comprehensive provision of digital technologies, and the access of trainees to innovative training. The results also confirm the need to further raise awareness of the topic.

Indexed as

Digital TechnologyGeneral SurgeryAdultFemaleForecastingGermanyHumansInternship and ResidencyMaleSurveys and QuestionnairesArtificial intelligenceDigitalizationMedical technologyRoboticsSurgical training

Identifiers

PMID40402286
PMCPMC12370858

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.