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精准指标:关于释放放射学关键绩效指标以推动精准医学发展的叙述性综述

Precision Metrics: A Narrative Review on Unlocking the Power of KPIs in Radiology for Enhanced Precision Medicine.

作者信息

Lastrucci Andrea, Wandael Yannick, Barra Angelo, Miele Vittorio, Ricci Renzo, Livi Lorenzo, Lepri Graziano, Gulino Rosario Alfio, Maccioni Giovanni, Giansanti Daniele

机构信息

Department of Allied Health Professions, Azienda Ospedaliero-Universitaria Careggi, 50134 Florence, Italy.

Department of Emergency Radiology, Careggi University Hospital, Largo Brambilla 3, 50134 Florence, Italy.

出版信息

J Pers Med. 2024 Sep 10;14(9):963. doi: 10.3390/jpm14090963.

DOI:10.3390/jpm14090963
PMID:39338217
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11433247/
Abstract

() Over the years, there has been increasing interest in adopting a quality approach in radiology, leading to the strategic pursuit of specific and key performance indicators (KPIs). These indicators in radiology can have significant impacts ranging from radiation protection to integration into digital healthcare. () This study aimed to conduct a narrative review on the integration of key performance indicators (KPIs) in radiology with specific key questions. () This review utilized a standardized checklist for narrative reviews, including the ANDJ Narrative Checklist, to ensure thoroughness and consistency. Searches were performed on PubMed, Scopus, and Google Scholar using a combination of keywords related to radiology and KPIs, with Boolean logic to refine results. From an initial yield of 211 studies, 127 were excluded due to a lack of focus on KPIs. The remaining 84 studies were assessed for clarity, design, and methodology, with 26 ultimately selected for detailed review. The evaluation process involved multiple assessors to minimize bias and ensure a rigorous analysis. () This overview highlights the following: KPIs are crucial for advancing radiology by supporting the evolution of imaging technologies (e.g., CT, MRI) and integrating emerging technologies like AI and AR/VR. They ensure high standards in diagnostic accuracy, image quality, and operational efficiency, enhancing diagnostic capabilities and streamlining workflows. KPIs are vital for radiological safety, measuring adherence to protocols that minimize radiation exposure and protect patients. The effective integration of KPIs into healthcare systems requires systematic development, validation, and standardization, supported by national and international initiatives. Addressing challenges like CAD-CAM technology and home-based radiology is essential. Developing specialized KPIs for new technologies will be key to continuous improvement in patient care and radiological practices. () In conclusion, KPIs are essential for advancing radiology, while future research should focus on improving data access and developing specialized KPIs to address emerging challenges. Future research should focus on expanding documentation sources, improving web search methods, and establishing direct connections with scientific associations.

摘要

()多年来,人们对在放射学中采用质量方法的兴趣与日俱增,从而促使对特定关键绩效指标(KPI)进行战略性追求。放射学中的这些指标可能产生重大影响,从辐射防护到融入数字医疗保健等方面。()本研究旨在针对放射学中关键绩效指标(KPI)的整合以及特定关键问题进行叙述性综述。()本综述使用了用于叙述性综述的标准化清单,包括ANDJ叙述性清单,以确保全面性和一致性。使用与放射学和KPI相关的关键词组合在PubMed、Scopus和谷歌学术上进行搜索,并运用布尔逻辑来优化结果。从最初的211项研究中,由于缺乏对KPI的关注,排除了127项。对其余84项研究进行了清晰度、设计和方法学评估,最终选定26项进行详细综述。评估过程涉及多名评估人员,以尽量减少偏差并确保严格分析。()本概述突出了以下几点:KPI对于推动放射学发展至关重要,它支持成像技术(如CT、MRI)的演进,并整合人工智能和AR/VR等新兴技术。它们确保在诊断准确性、图像质量和运营效率方面达到高标准,增强诊断能力并简化工作流程。KPI对于放射学安全至关重要,用于衡量对将辐射暴露降至最低并保护患者的协议的遵守情况。将KPI有效整合到医疗保健系统中需要在国家和国际倡议的支持下进行系统的开发、验证和标准化。应对CAD - CAM技术和居家放射学等挑战至关重要。为新技术制定专门的KPI将是持续改善患者护理和放射学实践的关键。()总之,KPI对于推动放射学发展至关重要,而未来的研究应侧重于改善数据获取以及开发专门的KPI以应对新出现的挑战。未来的研究应侧重于扩大文献来源、改进网络搜索方法以及与科学协会建立直接联系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42ba/11433247/2c642420b95e/jpm-14-00963-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42ba/11433247/d68c9b6a8aba/jpm-14-00963-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42ba/11433247/377056c44291/jpm-14-00963-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42ba/11433247/2c642420b95e/jpm-14-00963-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42ba/11433247/d68c9b6a8aba/jpm-14-00963-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42ba/11433247/377056c44291/jpm-14-00963-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42ba/11433247/2c642420b95e/jpm-14-00963-g003.jpg

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