Main Page/Featured article of the week/2017

Featured article of the week archive - 2017

Welcome to the LIMSwiki 2017 archive for the Featured Article of the Week.

Featured article of the week: January 9–15: "A benchmarking analysis of open-source business intelligence tools in healthcare environments" In recent years, a wide range of business intelligence (BI) technologies have been applied to different areas in order to support the decision-making process. BI enables the extraction of knowledge from the data stored. The healthcare industry is no exception, and so BI applications have been under investigation across multiple units of different institutions. Thus, in this article, we intend to analyze some open-source/free BI tools on the market and their applicability in the clinical sphere, taking into consideration the general characteristics of the clinical environment. For this purpose, six BI tools were selected, analyzed, and tested in a practical environment. Then, a comparison metric and a ranking were defined for the tested applications in order to choose the one that best applies to the extraction of useful knowledge and clinical data in a healthcare environment. Finally, a pervasive BI platform was developed using a real case in order to prove the tool's viability. (Full article...) Featured article of the week: January 2–8: "openBIS ELN-LIMS: An open-source database for academic laboratories" The open-source platform openBIS (open Biology Information System) offers an electronic laboratory notebook and a laboratory information management system (ELN-LIMS) solution suitable for the academic life science laboratories. openBIS ELN-LIMS allows researchers to efficiently document their work, to describe materials and methods and to collect raw and analyzed data. The system comes with a user-friendly web interface where data can be added, edited, browsed and searched. The openBIS software, a user guide and a demo instance are available at https://openbis-eln-lims.ethz.ch. The demo instance contains some data from our laboratory as an example to demonstrate the possibilities of the ELN-LIMS. (Full article...)

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