ReviewInnere Medizin (Heidelberg, Germany)2026
[Applications of artificial intelligence for efficient hospital processes : From hype to clinical relief].
Review in Innere Medizin (Heidelberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The use of artificial intelligence (AI) offers significant potential to increase efficiency in hospitals, particularly in the context of demographic change and staff shortages. Generative and agent-based AI enable the automation of complex clinical and administrative processes, including ambient listening, AI scribes, reporting and voice input, medical letter writing, guideline support as well as capacity management and coding. To sustainably realize these potentials, consistent operationalization, integration into existing processes, addressing regulatory hurdles and safeguarding medical expertise are required. By taking over time-consuming routine tasks, AI creates cognitive space for patient care and complex decision-making, thereby measurably contributing to relieving clinical staff and optimizing hospital workflows.
Indexed as
Identifiers
42084727What Socratic 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 Socratic graph.