DocumentCode
3565427
Title
Real-time Business Intelligence platform to maternity care
Author
Brandao, Andreia ; Pereira, Eliana ; Portela, Filipe ; Santos, Manuel ; Abelha, Antonio ; Machado, Jose
Author_Institution
Dept. of Inf., Univ. of Minho, Braga, Portugal
fYear
2014
Firstpage
379
Lastpage
384
Abstract
The motivation for the implementation of a decision support system in maternity care came from the fact that people are constantly making quick decisions based on incomplete information. There is a significant impact on the patient health, as well as in increasing medical errors. To implement this system, it was resorted to the technologies of Business Intelligence, which involved the construction of two data warehouses with a dimensional structure in a star shape, for two distinct modules, in Gynecology and Obstetrics cares. The feasibility of an evidence-based practice and medical decision making in real time with universal and interoperable features are some of the benefits resulting from the implementation of decision support system in maternity care. In this paper we present the architecture of BI solution, some clinical outcomes and some benefits of the BI solution in a real world context.
Keywords
competitive intelligence; data warehouses; decision making; decision support systems; health care; medical expert systems; obstetrics; patient care; BI solution; Gynecology cares; Obstetrics cares; clinical outcomes; data warehouses; decision support system; dimensional structure; distinct modules; evidence-based practice; interoperable features; maternity care; medical decision making; medical errors; patient health; quick decisions; real world context; real-time business intelligence platform; star shape; universal features; Bismuth; Data mining; Databases; Decision making; Pregnancy;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Engineering and Sciences (IECBES), 2014 IEEE Conference on
Type
conf
DOI
10.1109/IECBES.2014.7047525
Filename
7047525
Link To Document