Pervasive Business Intelligence Platform to Support the Decision-Making Process in Waiting Lists

Abstract

In recent years, the increase of average waiting times in waiting lists is an issue that has been felt in health institutions. Thus, the implementation of new administrative measures to improve the management of these organizations may be required. Hereupon, the aim of this present work is to support the decision-making process in appointments and surgeries waiting lists in a hospital located in the north of Portugal, through a pervasive Business Intelligence platform that can be accessed anywhere and anytime by any device connected within the hospital's private network. By representing information that facilitate the analysis of information and knowledge extraction, the Web tool allows the identification in real-time of average waiting times outside the outlined patterns. Thereby, the developed platform permits their identification, enabling their further understanding in order to take the necessary measures. Thus, the main purpose is to enable the reduction of average waiting times through the analysis of information in order to, subsequently, ensure the satisfaction of patients.

The Development of a Business Intelligence Web Application to Support the Decision-Making Process Regarding Absenteeism in the Workplace

“…On the top of that, BI offers numerous tools, including the Extract, Transform, and Load (ETL) process that is capable of extracting information from one or more sources, clean-up and normalize the data and, finally, load the data into a data warehouse (DW) [12,13]. Moreover, BI also resorts on data warehousing, which is a tool that is able to store and organize the previously treated data [14].…”

The development of a pervasive Web application to alert patients based on business intelligence clinical indicators: a case study in a health institution

“…On the other hand, the concept of business intelligence (BI) refers to the process of collecting, transforming, organizing, analysing, and distributing data from various internal and external sources of information to improve the decision-making process [6,9]. In this way, based on past experiences, BI transforms a large amount of raw data into useful information for an even more strategic decisionmaking process [9,10].…”

“…However, despite the evolution of BI into a promising field in healthcare, it does not have reached its full potential in health institutions, and several challenges must be overcome regarding essentially availability, continuity, ease of use, and quality assurance [9,13]. Therefore, the health data that is expected to grow dramatically in the years ahead must be acquired, analysed, visualized, and consumed befittingly.…”