Proceedings of the 2nd International Workshop on Business intelligencE and the WEB - BEWEB '11

2011 ◽  
Keyword(s):  
Business Intelligence ◽  
International Workshop ◽  
The Web

scholarly journals Report of the international workshop on business intelligence and the web

2012 ◽  
Vol 41 (3) ◽  
pp. 51-53
Author(s):  
Jose-Norberto Mazón ◽  
Irene Garrigós ◽  
Florian Daniel ◽  
Malu Castellanos
Keyword(s):  
Business Intelligence ◽  
International Workshop ◽  
The Web

scholarly journals Mining the web for business intelligence: Homepage analysis in the internet era

2004 ◽  
Vol 12 (1) ◽  
pp. 32-54 ◽  
Author(s):  
Kin-nam Lau ◽  
Kam-hon Lee ◽  
Ying Ho ◽  
Pong-yuen Lam
Keyword(s):  
Business Intelligence ◽  
The Internet ◽  
The Web

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

2021 ◽  
pp. 848-863
Author(s):  
Marisa Esteves ◽  
Filipe Miranda ◽  
António Abelha
Keyword(s):  
Decision Making ◽  
Real Time ◽  
Business Intelligence ◽  
Waiting Times ◽  
Waiting Lists ◽  
Decision Making Process ◽  
The North ◽  
Health Institutions ◽  
Private Network ◽  
The Web

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.

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