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基于网络问卷的调查结果:磁共振成像前的诊断程序分析。

Insights from a web-based questionnaire: examining diagnostic procedures prior to magnetic resonance imaging.

机构信息

Department of Radiology, Faculty of Medicine, Hadassah Medical Center, Hebrew University of Jerusalem, Jerusalem, 91120, Israel.

出版信息

Isr J Health Policy Res. 2024 Sep 18;13(1):49. doi: 10.1186/s13584-024-00636-6.

Abstract

The appropriate use of diagnostic imaging, particularly MRI, is a critical concern in modern healthcare. This paper examines the current state of MRI utilization in Israel, drawing on a recent study by Kaim et al. that surveyed 557 Israeli adults who underwent MRI in the public health system. The study revealed that 60% of participants had undergone other imaging tests before their MRI, with 23% having more than one prior examination. While these findings highlight potential inefficiencies in the diagnostic pathway, they also underscore the complexity of medical decision-making in imaging.The paper discusses various factors influencing MRI utilization, including regulatory pressures, healthcare system structure, and the need for evidence-based guidelines. It explores potential strategies for optimizing MRI justification and scheduling, such as implementing clinical decision support systems, enhancing interdisciplinary communication, and leveraging artificial intelligence (AI) for predictive analytics and resource optimization.The need for comprehensive research into MRI justification and scheduling optimization is presented. Key areas for investigation include the effectiveness of decision support tools, patient outcomes, economic analyses, and the application of quality improvement methodologies.

摘要

诊断成像的合理应用,特别是 MRI 的应用,是现代医疗保健的一个关键关注点。本文通过 Kaim 等人最近对在公共医疗体系下接受 MRI 的 557 名以色列成年人进行的研究,考察了以色列目前 MRI 的应用情况。该研究显示,60%的参与者在接受 MRI 之前接受过其他影像学检查,其中 23%的人接受过不止一次的检查。尽管这些发现突出了诊断途径中潜在的效率低下问题,但也强调了影像学医学决策的复杂性。

本文讨论了影响 MRI 使用的各种因素,包括监管压力、医疗体系结构以及基于证据的指南的需求。它探讨了优化 MRI 正当性和安排的潜在策略,例如实施临床决策支持系统、加强跨学科沟通以及利用人工智能 (AI) 进行预测分析和资源优化。

提出了对 MRI 正当性和安排优化进行全面研究的必要性。调查的重点领域包括决策支持工具的有效性、患者结果、经济分析以及质量改进方法的应用。

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本文引用的文献

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