从网络问卷中获得的启示:检查磁共振成像前的诊断程序。

IF 3.5 4区 医学 Q1 HEALTH POLICY & SERVICES
Jacob Sosna
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引用次数: 0

摘要

合理使用诊断成像,尤其是核磁共振成像,是现代医疗保健的关键问题。Kaim 等人最近进行了一项研究,调查了 557 名在公共卫生系统接受核磁共振成像检查的以色列成年人,本文借鉴该研究成果,探讨了以色列核磁共振成像的使用现状。该研究显示,60% 的参与者在接受核磁共振成像之前还接受过其他成像检查,其中 23% 的人之前接受过不止一次检查。本文讨论了影响磁共振成像利用率的各种因素,包括监管压力、医疗保健系统结构以及对循证指南的需求。论文探讨了优化核磁共振成像理由和排期的潜在策略,如实施临床决策支持系统、加强跨学科交流、利用人工智能(AI)进行预测分析和资源优化等。论文提出了对核磁共振成像理由和排期优化进行综合研究的必要性。研究的重点领域包括决策支持工具的有效性、患者预后、经济分析以及质量改进方法的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Insights from a web-based questionnaire: examining diagnostic procedures prior to magnetic resonance imaging.

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.

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来源期刊
CiteScore
6.20
自引率
4.40%
发文量
38
审稿时长
28 weeks
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