急诊放射学:放射科的路线图。

Emergency radiology: roadmap for radiology departments.

作者信息

Aydin Sonay, Ece Bunyamin, Cakmak Vefa, Kocak Burak, Onur Mehmet Ruhi

机构信息

Department of Radiology, Faculty of Medicine, Erzincan Binali Yildirim University, Erzincan, Türkiye.

Department of Radiology, Faculty of Medicine, Kastamonu University, Kastamonu, Türkiye.

出版信息

Jpn J Radiol. 2025 Jun 20. doi: 10.1007/s11604-025-01819-0.

Abstract

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.

摘要

在过去20年里,急诊放射学已发展成为一个重要的亚专业,面临着诸多独特挑战,包括成像量不断增加、检查复杂性日益提高以及临床医生和患者的期望不断攀升。本综述全面概述了一个有效的急诊放射学科室的关键要求。急诊放射科医生通过提供全天候的持续支持,在实时决策中发挥着至关重要的作用,这需要具备跨多个器官系统的专业知识,并与急诊医生和专科医生密切协作。除了图像解读,急诊放射科医生还负责安排人员排班、规划设备、确定成像方案以及建立标准化报告系统。急诊放射科的运营考量包括高效的排班模式,如基于昼夜节律的排班;战略性的设备布局,将主要成像设备放置在急诊科附近;以及通过结构化的医嘱系统和标准化方案进行有效的成像管理。应对大规模伤亡事件需要一个组织良好的工作流程示意图,详细说明从患者转运到图像采集和解读的各个步骤,明确任务分配和成像路径。急诊放射科医生与医生之间的协作至关重要,通过各种渠道和结构化报告模板促进准确沟通。人工智能已成为急诊放射学中的变革性工具,在解读领域(检测颅内出血、肺栓塞、急性缺血性中风)和非解读应用(分诊系统、方案协助、质量控制)方面都具有潜在益处。尽管存在包括临床医生的怀疑、财务考量和伦理问题在内的实施挑战,但人工智能可以提高诊断准确性并优化工作流程。远程放射学为人员短缺问题提供了解决方案,特别是在非工作时间,混合模式使放射科医生能够在现场和远程工作。本综述旨在指导相关利益方建立和维持高效的急诊放射学服务,以改善患者治疗效果。

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