在医疗决策中,噪音是一个未被充分认识到的问题,它被称为“范围审查”。

IF 3.3 3区 医学 Q2 MEDICAL INFORMATICS
Kayla V Dlugos, Mjaye Mazwi, Robert Lao, Osami Honjo
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引用次数: 0

摘要

日常决策中不需要的随机变化被称为“噪音”,与影响决策可重复性和质量的无益变化有关。虽然这在其他领域也有描述,但噪音在医疗决策中的普遍存在及其对患者结果、护理过程和效率的影响尚未被报道,也是未知的。本综述旨在探讨噪音作为医疗决策的一个特征,以及探索在这种情况下的潜在噪声源。搜索产生了2082个结果。对综述中包含的14项研究(11篇PubMed, 3篇参考文献挖掘)的分析表明,噪音是无益的实践变化的驱动因素,可能对护理效率和可重复性产生重要影响。14项研究中有7项显示模式噪声,3项显示场合噪声,5项显示稳定模式噪声。8项研究中的决策表现出水平噪声,最后4项研究中的决策表现出系统噪声,即模式噪声和水平噪声的结合。需要进一步的研究来确定如何测量和减轻医疗决策中的噪音,以及更好地了解存在的噪声源。临床试验编号不适用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Noise is an underrecognized problem in medical decision making and is known by other names: a scoping review.

Unwanted random variability in day-to-day decision making referred to as 'noise' is associated with unhelpful variation that affects both the reproducibility and quality of decision making. Although this is described in other fields, the prevalence of noise in medical decision making and its effects on patient outcomes and the process and efficiency of care have not been reported and are unknown. This review sought to explore noise as a feature of medical decision making, as well as explore potential sources of noise in this setting. The search generated 2,082 results. Analysis of 14 studies included in the review (11 PubMed, 3 reference mining) suggests noise is a driver of unhelpful practice variation and may have important effects on care efficiency and reproducibility. 7 of the 14 studies demonstrated pattern noise, 3 demonstrated occasion noise, and 5 demonstrated stable pattern noise. The decision making in 8 studies demonstrated level noise, and lastly the decision making in 4 of the studies demonstrated system noise, a combination of both pattern and level noise. Additional study is required to ascertain how to measure and mitigate noise in medical decision making, as well as better understand the sources of noise present. Clinical trial number not applicable.

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来源期刊
CiteScore
7.20
自引率
5.70%
发文量
297
审稿时长
1 months
期刊介绍: BMC Medical Informatics and Decision Making is an open access journal publishing original peer-reviewed research articles in relation to the design, development, implementation, use, and evaluation of health information technologies and decision-making for human health.
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