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Emergency radiology: roadmap for radiology departments

dc.contributor.authorAydin, Sonay
dc.contributor.authorEce, Bunyamin
dc.contributor.authorCakmak, Vefa
dc.contributor.authorKocak, Burak
dc.contributor.authorOnur, Mehmet Ruhi
dc.date.accessioned2026-01-04T22:06:14Z
dc.date.issued2025-06-20
dc.description.abstractAbstract Emergency radiology has evolved into a significant subspecialty over the past 2 decades, facing unique challenges including escalating imaging volumes, increasing study complexity, and heightened expectations from clinicians and patients. This review provides a comprehensive overview of the key requirements for an effective emergency radiology unit. Emergency radiologists play a crucial role in real-time decision-making by providing continuous 24/7 support, requiring expertise across various organ systems and close collaboration with emergency physicians and specialists. Beyond image interpretation, emergency radiologists are responsible for organizing staff schedules, planning equipment, determining imaging protocols, and establishing standardized reporting systems. Operational considerations in emergency radiology departments include efficient scheduling models such as circadian-based scheduling, strategic equipment organization with primary imaging modalities positioned near emergency departments, and effective imaging management through structured ordering systems and standardized protocols. Preparedness for mass casualty incidents requires a well-organized workflow process map detailing steps from patient transfer to image acquisition and interpretation, with clear task allocation and imaging pathways. Collaboration between emergency radiologists and physicians is essential, with accurate communication facilitated through various channels and structured reporting templates. Artificial intelligence has emerged as a transformative tool in emergency radiology, offering potential benefits in both interpretative domains (detecting intracranial hemorrhage, pulmonary embolism, acute ischemic stroke) and non-interpretative applications (triage systems, protocol assistance, quality control). Despite implementation challenges including clinician skepticism, financial considerations, and ethical issues, AI can enhance diagnostic accuracy and workflow optimization. Teleradiology provides solutions for staff shortages, particularly during off-hours, with hybrid models allowing radiologists to work both on-site and remotely. This review aims to guide stakeholders in establishing and maintaining efficient emergency radiology services to improve patient outcomes.
dc.description.urihttps://doi.org/10.1007/s11604-025-01819-0
dc.description.urihttps://pubmed.ncbi.nlm.nih.gov/40540107/
dc.description.urihttps://pmc.ncbi.nlm.nih.gov/articles/PMC12479673/
dc.identifier.doi10.1007/s11604-025-01819-0
dc.identifier.eissn1867-108X
dc.identifier.endpage1617
dc.identifier.issn1867-1071
dc.identifier.openairedoi_dedup___::ac9101dd1cc1fce9815d5293e861f31a
dc.identifier.orcid0000-0002-3812-6333
dc.identifier.orcid0000-0001-6288-8410
dc.identifier.orcid0000-0001-7002-5594
dc.identifier.orcid0000-0002-7307-396x
dc.identifier.orcid0000-0003-1732-7862
dc.identifier.pubmed40540107
dc.identifier.scopus2-s2.0-105008645758
dc.identifier.startpage1606
dc.identifier.urihttps://hdl.handle.net/20.500.12597/42745
dc.identifier.volume43
dc.language.isoeng
dc.publisherSpringer Science and Business Media LLC
dc.relation.ispartofJapanese Journal of Radiology
dc.rightsOPEN
dc.subjectInvited Review
dc.titleEmergency radiology: roadmap for radiology departments
dc.typeArticle
dspace.entity.typePublication
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This review provides a comprehensive overview of the key requirements for an effective emergency radiology unit. Emergency radiologists play a crucial role in real-time decision-making by providing continuous 24/7 support, requiring expertise across various organ systems and close collaboration with emergency physicians and specialists. Beyond image interpretation, emergency radiologists are responsible for organizing staff schedules, planning equipment, determining imaging protocols, and establishing standardized reporting systems. Operational considerations in emergency radiology departments include efficient scheduling models such as circadian-based scheduling, strategic equipment organization with primary imaging modalities positioned near emergency departments, and effective imaging management through structured ordering systems and standardized protocols. Preparedness for mass casualty incidents requires a well-organized workflow process map detailing steps from patient transfer to image acquisition and interpretation, with clear task allocation and imaging pathways. Collaboration between emergency radiologists and physicians is essential, with accurate communication facilitated through various channels and structured reporting templates. Artificial intelligence has emerged as a transformative tool in emergency radiology, offering potential benefits in both interpretative domains (detecting intracranial hemorrhage, pulmonary embolism, acute ischemic stroke) and non-interpretative applications (triage systems, protocol assistance, quality control). Despite implementation challenges including clinician skepticism, financial considerations, and ethical issues, AI can enhance diagnostic accuracy and workflow optimization. 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local.import.sourceOpenAire
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