2014
Brandão, A.; Pereira, E.; Portela, F.; Santos, M.; Abelha, A.; Machado, J.
Real-time Business Intelligence platform to maternity care Proceedings Article
Em: pp. 379-384, Institute of Electrical and Electronics Engineers Inc., 2014, ISBN: 9781479940844, (cited By 10; Conference of 3rd IEEE Conference on Biomedical Engineering and Sciences, IECBES 2014 ; Conference Date: 8 December 2014 Through 10 December 2014; Conference Code:111205).
Resumo | Links | BibTeX | Etiquetas: Artificial intelligence; Behavioral research; Biomedical engineering; Competitive intelligence; Data warehouses; Decision making; Information analysis; Interoperability; Medicine, Clinical outcome; Dimensional structures; Evidence-based practices; Incomplete information; Medical decision making; Medical errors; Patient health; Real time business intelligence, Decision support systems
@inproceedings{Brandão2014379,
title = {Real-time Business Intelligence platform to maternity care},
author = {A. Brandão and E. Pereira and F. Portela and M. Santos and A. Abelha and J. Machado},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84925625301&doi=10.1109%2fIECBES.2014.7047525&partnerID=40&md5=c9c0dbde3a55cfa9f6d17b3d89ebf795},
doi = {10.1109/IECBES.2014.7047525},
isbn = {9781479940844},
year = {2014},
date = {2014-01-01},
journal = {IECBES 2014, Conference Proceedings - 2014 IEEE Conference on Biomedical Engineering and Sciences: "Miri, Where Engineering in Medicine and Biology and Humanity Meet"},
pages = {379-384},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
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. © 2014 IEEE.},
note = {cited By 10; Conference of 3rd IEEE Conference on Biomedical Engineering and Sciences, IECBES 2014 ; Conference Date: 8 December 2014 Through 10 December 2014; Conference Code:111205},
keywords = {Artificial intelligence; Behavioral research; Biomedical engineering; Competitive intelligence; Data warehouses; Decision making; Information analysis; Interoperability; Medicine, Clinical outcome; Dimensional structures; Evidence-based practices; Incomplete information; Medical decision making; Medical errors; Patient health; Real time business intelligence, Decision support systems},
pubstate = {published},
tppubtype = {inproceedings}
}