Abstract
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 viability.
Highlights
The healthcare sector is looking for computer applications to support the daily practice of health professionals
Turin ASL 3, which is a system developed in conjunction with the open-source Spago Business Intelligence (BI) that allows the assignment of permissions for use according to the different types of users
This paper is tool intended to facilitate the research work of developers who to deploy in this paper may select the same software used in the case study based on the analysis made and an open-source Business Intelligence (BI) platform in a healthcare environment and do not know benefits mentioned throughout this manuscript
Summary
The healthcare sector is looking for computer applications to support the daily practice of health professionals. This type of software is very popular due to its many advantages, since it promises to accelerate the diffusion of Information Technologies (IT). The tools selected for this study were QlikView [7], Palo BI Suite [8], Jaspersoft BI [9], Tableau Public [10], Spago BI [11], and Pentaho BI Suite [12] The analysis of this type of software emerged during a project that included the development of a BI platform in Maternity Care to visualize clinician and management indicators, as well as integrating Data Mining (DM) predictive models. The last sections correspond to the results, discussion, and conclusion
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