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用于捕捉复杂操作中变异性的动态版FRAM。

A dynamic version of the FRAM for capturing variability in complex operations.

作者信息

Salehi Vahid, Smith Doug, Veitch Brian, Hanson Natasha

机构信息

Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John's, Canada.

Research Services, Horizon Health Network, Saint John Regional Hospital, St. John's, Canada.

出版信息

MethodsX. 2021 Apr 2;8:101333. doi: 10.1016/j.mex.2021.101333. eCollection 2021.

DOI:10.1016/j.mex.2021.101333
PMID:34430239
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8374388/
Abstract

Functional Resonance Analysis Method (FRAM) is a function-based approach to model complex socio-technical systems and to manage variability. The current FRAM related tools are unable to capture qualitative and quantitative characteristics of variability as well as temporal variations. This study presents in detail a dynamic FRAM-based tool, which is called DynaFRAM. It is introduced to address the variability-related deficiencies of the FRAM related tools. It aims to capture variability in complex operations. It is a dynamic tool developed to capture time related variations in complex operations. This increases the attractiveness of the DynaFRAM for complex operations where specialists and practitioners make decisions in complicated situations. The ability of the DynaFRAM is demonstrated by examining a healthcare related case study. Although the ability of the DynaFRAM is assessed through capturing variations in healthcare operations, it can be applied to other domains in a similar manner.•The DynaFRAM is a dynamic FRAM-based tool.•It is able to captures different characteristics of variability.•It facilitates understanding and analysis of variability in complex operations.

摘要

功能共振分析方法(FRAM)是一种基于功能的方法,用于对复杂的社会技术系统进行建模并管理变异性。当前与FRAM相关的工具无法捕捉变异性的定性和定量特征以及时间变化。本研究详细介绍了一种基于FRAM的动态工具,称为DynaFRAM。引入该工具是为了解决与FRAM相关工具在变异性方面的不足。它旨在捕捉复杂操作中的变异性。它是一种动态工具,旨在捕捉复杂操作中与时间相关的变化。这增加了DynaFRAM对于专家和从业者在复杂情况下进行决策的复杂操作的吸引力。通过研究一个与医疗保健相关的案例研究来证明DynaFRAM的能力。尽管DynaFRAM的能力是通过捕捉医疗保健操作中的变化来评估的,但它可以以类似的方式应用于其他领域。

•DynaFRAM是一种基于FRAM的动态工具。

•它能够捕捉变异性的不同特征。

•它有助于理解和分析复杂操作中的变异性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e1a/8374388/0a29bc5940cf/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e1a/8374388/4d0532d6a5c1/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e1a/8374388/2298fa9d8951/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e1a/8374388/4b98fcb894fb/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e1a/8374388/292f671b924b/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e1a/8374388/cd5c1d43fba2/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e1a/8374388/81f4402b8c75/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e1a/8374388/a3241edca0ed/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e1a/8374388/b303cf3e7660/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e1a/8374388/38303c677977/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e1a/8374388/0a29bc5940cf/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e1a/8374388/4d0532d6a5c1/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e1a/8374388/2298fa9d8951/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e1a/8374388/4b98fcb894fb/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e1a/8374388/292f671b924b/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e1a/8374388/cd5c1d43fba2/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e1a/8374388/81f4402b8c75/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e1a/8374388/a3241edca0ed/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e1a/8374388/b303cf3e7660/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e1a/8374388/38303c677977/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e1a/8374388/0a29bc5940cf/gr9.jpg

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