Evidence map›Paper›PMID 42742688›Full record

ReviewMedizinische Klinik, Intensivmedizin und Notfallmedizin2026

[Digitalization and artificial intelligence in intensive care and emergency medicine : German Society for Internal Intensive Care and Emergency Medicine (DGIIN) position paper on targeted introduction].

Leo Benning, Markus Haar, Anna Haftenberger, Dario Antweiler, Oliver Steidle, Ralf Möller, Robert Simon Schiff, Sebastian Wolfrum, Mattis Hartwig, Marek Seitz and 4 more

Abstract readEnglish AbstractReview
PubMed Publisher
In one paragraph

Review in Medizinische Klinik, Intensivmedizin und Notfallmedizin, 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

14 authors.

Leo BenningZentrum für Notfall- und Rettungsmedizin, Universitätsklinikum Freiburg, Sir-Hans-A.-Krebs-Straße 1, 79106, Freiburg, Deutschland. leo.benning@uniklinik-freiburg.de.
Markus HaarArbeitsgruppe Digitale Medizin und Künstliche Intelligenz in der Akut‑, Notfall- und Intensivmedizin (KIANI), Deutsche Gesellschaft für Internistische Intensivmedizin und Notfallmedizin, Berlin, Deutschland.
Anna HaftenbergerGleiss Lutz Rechtsanwälte Berlin, Berlin, Deutschland.
Dario AntweilerFraunhofer IAIS, Sankt Augustin, Deutschland.
Oliver SteidleStabstelle Qualitätsmanagement und klinisches Risikomanagement, Universitätsklinikum Essen, Essen, Deutschland.
Ralf MöllerInstitute of Humanities-Centered Artificial Intelligence, Universität Hamburg, Hamburg, Deutschland.
Robert Simon SchiffDeutsches Forschungszentrum für Künstliche Intelligenz (DFKI), Lübeck, Deutschland.
Sebastian WolfrumArbeitsgruppe Digitale Medizin und Künstliche Intelligenz in der Akut‑, Notfall- und Intensivmedizin (KIANI), Deutsche Gesellschaft für Internistische Intensivmedizin und Notfallmedizin, Berlin, Deutschland.
Mattis HartwigsingularIT GmbH, Lübeck, Deutschland.
Marek SeitzProjektmanagement Digitalisierung, Krankenhaus der Barmherzigen Brüder Trier, Trier, Deutschland.
Georg WidhalmKlinik für Neurochirurgie, Medizinische Universität Wien, Wien, Österreich.
Sabine WingenDeutsche Gesellschaft für Internistische Intensiv- und Notfallmedizin e. V. (DGIIN), Berlin, Deutschland.
Hans-Jörg BuschZentrum für Notfall- und Rettungsmedizin, Universitätsklinikum Freiburg, Sir-Hans-A.-Krebs-Straße 1, 79106, Freiburg, Deutschland.
Guido MichelsArbeitsgruppe Digitale Medizin und Künstliche Intelligenz in der Akut‑, Notfall- und Intensivmedizin (KIANI), Deutsche Gesellschaft für Internistische Intensivmedizin und Notfallmedizin, Berlin, Deutschland. g.michels@bbtgruppe.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this position paper, the German Society for Internal Intensive Care and Emergency Medicine e. V. (Deutsche Gesellschaft für Internistische Intensivmedizin und Notfallmedizin, DGIIN) sets out its principles for the introduction of digitization and artificial intelligence (AI) into emergency and intensive care medicine. A prerequisite for their introduction is a targeted qualification for physicians and healthcare professions so that they can assess technological fundamentals, uncertainties, and regulatory frameworks, as well as the possibilities and limitations of medical use cases. The central principle for the development and introduction of digitization and AI applications is co-development, in which clinical expertise, science, industry, and regulators jointly develop digitization and AI solutions to ensure that they meet clinical needs, are safe, and are practical to use. Due to different care delivery contexts, context-specific solutions are required. In particular, the requirements of medical device regulations, AI regulations, and data protection must be taken into account. Implementation must enable integration into existing IT systems and interoperable data infrastructures. Ultimately, the applicability of AI depends on organizational implementation strategies, technical interoperability standards, and an actively designed professional context so that digitization and AI applications can be integrated into clinical decision-making in a responsible, transparent, and effective manner-all instrumental features for their use in time-critical medical situations, e.g., in intensive care units and emergency departments.

Indexed as

Artificial intelligenceCritical careDigital HealthDigitizationEmergency medicineInterprofessional care deliveryPatient careProcess integrationQualification

Identifiers

PMID42742688

What Socratic 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 Socratic graph.