ReviewRadiologie (Heidelberg, Germany)2026
[The digital patient journey : Performing radiological examinations].
Review in Radiologie (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.
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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.
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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.
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe rising demand for imaging studies, increasing diagnostic complexity, and limited personnel resources are organizational challenges for radiology departments. Efficient management of the examination process is essential to ensure timely and high-quality patient care. Digital technologies and artificial intelligence (AI)-based systems have the potential to optimize imaging workflows within the examination room.
objectivesTo present digital processes used during radiological examinations and to assess their implications for radiology workflow, personnel structure, and patient care. MATERIALS AND
methodsCurrent scientific publications and reviews on digital workflows, automated planning, deep learning reconstruction, real-time quality control, and remote scanning concepts in radiological image acquisition were summarized and systematically analyzed.
resultsDigital systems enable increased patient comfort, standardized protocol initialization, automated slice planning, deep learning reconstruction, and quality monitoring during image acquisition. These approaches may improve efficiency, and robustness of examinations while reducing the need for repeat scans. Remote scanning provides opportunities for cross-site support and expertise sharing.
conclusionThe digital transformation of radiological examination workflows represents a key lever for optimizing clinical processes. Digital and AI-based approaches may enhance efficiency and patient-centered care, but require thorough validation, interoperability, and responsible integration into existing healthcare structures.
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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 OpenQuestion graph.