2017
Loreto, P.; Fonseca, F.; Morais, A.; Peixoto, H.; Abelha, A.; Machado, J.
Improving maternity care with business intelligence Proceedings Article
Em: I., Younas M. Portela F. Awan (Ed.): pp. 170-177, Institute of Electrical and Electronics Engineers Inc., 2017, ISBN: 9781538632819, (cited By 10; Conference of 5th IEEE International Conference on Future Internet of Things and Cloud Workshops, W-FiCloud 2017 ; Conference Date: 21 August 2017 Through 23 August 2017; Conference Code:132622).
Resumo | Links | BibTeX | Etiquetas: Competitive intelligence; Data warehouses; Decision making; Health care; Indicators (instruments); Information analysis; Information systems; Information use; Internet of things; Medical computing; Obstetrics; Public health; Warehouses, Decision making process; Extract transform loads; Health information systems; Improvement measure; International healths; Quality of health care; Reference values; Related works, Interoperability
@inproceedings{Loreto2017170,
title = {Improving maternity care with business intelligence},
author = {P. Loreto and F. Fonseca and A. Morais and H. Peixoto and A. Abelha and J. Machado},
editor = {Younas M. Portela F. Awan I.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85047413573&doi=10.1109%2fFiCloudW.2017.89&partnerID=40&md5=54a43f1b7c10b42ab82c19d054c3a987},
doi = {10.1109/FiCloudW.2017.89},
isbn = {9781538632819},
year = {2017},
date = {2017-01-01},
journal = {Proceedings - 2017 5th International Conference on Future Internet of Things and Cloud Workshops, W-FiCloud 2017},
volume = {2017-January},
pages = {170-177},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {The aim of this paper is to develop clinical indicators for obstetrics through the use of Business Intelligence (BI) tools, since valid and reliable clinical indicators can help measuring quality of healthcare services and support decision-making processes. This paper gives an overview of concepts related to Health Information Systems (HIS) and BI, along with some related work to highlight the advantages that BI solutions can bring when applied to healthcare. In this paper is also presented the data warehousing and the ETL process, that was necessary for the development of indicators and which is usually hidden from endusers, is described. The indicators were developed using Power BI and were analysed and compared with reference values from both national and international health reports. The discussion of the developed indicators made it possible to measure the quality of the obstetrics service, to identify the problematic areas and to decide whether improvement measures should be taken. © 2017 IEEE.},
note = {cited By 10; Conference of 5th IEEE International Conference on Future Internet of Things and Cloud Workshops, W-FiCloud 2017 ; Conference Date: 21 August 2017 Through 23 August 2017; Conference Code:132622},
keywords = {Competitive intelligence; Data warehouses; Decision making; Health care; Indicators (instruments); Information analysis; Information systems; Information use; Internet of things; Medical computing; Obstetrics; Public health; Warehouses, Decision making process; Extract transform loads; Health information systems; Improvement measure; International healths; Quality of health care; Reference values; Related works, Interoperability},
pubstate = {published},
tppubtype = {inproceedings}
}