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[使用多时刻分析对放射科工作流程的分析:方法学原理]

[Analysis of work flow in a radiology center using multi-moment-analysis: methodical principles].

作者信息

Reifenrath H, Wacker F K, Alten T, Müller-Heine A, Tecklenburg A

机构信息

Institut für Standardisiertes und Angewandtes Krankenhausmanagement, Medizinische Hochschule Hannover, Hannover.

出版信息

Rofo. 2012 Dec;184(12):1110-7. doi: 10.1055/s-0032-1313069. Epub 2012 Aug 14.

Abstract

Radiology departments at hospitals are closely watched for their economy. The introduction of fast scanner technology usually triggers questions about simultaneously reducing final report times. The aim of the present study was first to examine, if the multi-moment analysis (MMH) is an appropriate method for structural and quantitative analysis of complex work flows in Radiology, and second, if factors negatively influencing the core processes can be quantitatively evaluated. The study was performed in the Departments of Radiology and Neuroradiology at a major University Hospital in Northern Germany. Randomized monitoring of the workflow of more than 80 doctors and radiology technicians assistants resulted in 800 observations per workplace. The high observation rate yielded a high accuracy (95% confidence interval width of less than +3,5%) to determine the proportion of different work patterns. MMH proved to be an appropriate means to analyze and quantify complex work flows at a university radiology centre. Different workplaces could be compared and total daily labor time could be derived from the observations. Circadian variabilities could be differentiated. The potential of the MMH to guide workflow optimization was identified. On the basis of data collected, MMH restructuring and control systems can be planned.

摘要

医院的放射科在经济方面受到密切关注。快速扫描仪技术的引入通常会引发关于同时缩短最终报告时间的问题。本研究的目的首先是检验多时刻分析(MMH)是否是放射科复杂工作流程的结构和定量分析的合适方法,其次是检验对核心流程有负面影响的因素是否可以进行定量评估。该研究在德国北部一家大型大学医院的放射科和神经放射科进行。对80多名医生和放射科技术助理的工作流程进行随机监测,每个工作场所得到800次观察结果。高观察率产生了高准确度(95%置信区间宽度小于±3.5%)来确定不同工作模式的比例。MMH被证明是分析和量化大学放射科中心复杂工作流程的合适方法。可以比较不同的工作场所,并从观察结果中得出每日总劳动时间。可以区分昼夜变化。确定了MMH指导工作流程优化的潜力。基于收集到的数据,可以规划MMH重组和控制系统。

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