File:Fig1 Maury FrontDigHlth2021 3.jpg

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Summary

Description

Figure 1. Dashboard structure. The dashboard is organized in three main parts: a Filter page, Comparison page, and Data page. On the filtering page, key indicators are available such as the number of specimens, time to results, positivity rate, percent of invalid tests, etc. These indicators are provided by default for the whole dataset, but are also available for subgroups, according to the filtering criteria applied to the whole dataset. Thus, it is possible in a click to observe specifically the tests done during a given period or done on a dedicated instrument. It is also possible to select only the analysis performed for a given requester. The Comparison page offers more than 182 combinations of the KPI. The Data page gives access to the raw data in a table format that can be downloaded; filters can be applied to choose a subset of data of interest.

Source

Maury, E.; Boldi, M.-O.; Greub, G.; Chavez, V.; Jaton, K.; Opota, O. (2021). "An automated dashboard to improve laboratory COVID-19 diagnostics management". Frontiers in Digital Health 3: 773986. doi:10.3389/fdgth.2021.773986. 

Date

2021

Author

Maury, E.; Boldi, M.-O.; Greub, G.; Chavez, V.; Jaton, K.; Opota, O.

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(Reusing this file)

Creative Commons Attribution 4.0 International

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current19:09, 17 February 2022Thumbnail for version as of 19:09, 17 February 2022971 × 1,339 (555 KB)Shawndouglas (talk | contribs)

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