loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Danilo Coelho ; Filipe Portela ; Manuel Filipe Santos ; José Machado and António Abelha

Affiliation: Algoritmi Research Centre and University of Minho, Portugal

Keyword(s): Business Intelligence, Misericórdia, Data Mart, Pervasive HealthCare, Dashboards.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Business Analytics ; Cardiovascular Technologies ; Computing and Telecommunications in Cardiology ; Data Engineering ; Decision Support Systems ; Decision Support Systems, Remote Data Analysis ; Health Engineering and Technology Applications ; Knowledge-Based Systems ; Symbolic Systems

Abstract: Currently, the healthcare system is one of the main pillars of any society. Given the economic crisis in Portugal and poor healthcare system in need of profound improvements, the need to increase the efficiency of resource management and services is imperative. With the increasing use of Business Intelligence (BI) in organisations and the proven effectiveness of this, comes the desire to use BI in healthcare, specifically in the healthcare of Misericórdia. One of the purposes of this article is to present the results obtained through the development of the dissertation whose theme is "Prototyping of Business Intelligence component to support the management in the health area of a Misericórdia". So, in this work, some concepts associated with the use of BI in Misericórdias were addressed, and the Pervasive BI architecture of the developed solution was designed. It is also important to emphasise that the solution presented is pervasive, available anywhere at any time. Furthermore, a se t of metrics were developed and the data presented in the form of dashboards, for later use by the users. Through this work, it was possible to gather all the data into a single structure (Data Mart), to identify a set of aspects that can be improved and to have a generalised view of the state of operation of the organisation, as far as health care is concerned. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.118.9.7

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Coelho, D.; Portela, F.; Santos, M.; Machado, J. and Abelha, A. (2017). A Pervasive Business Intelligence Solution to Manage Portuguese Misericordia. In Proceedings of the 3rd International Conference on Information and Communication Technologies for Ageing Well and e-Health - ICT4AWE; ISBN 978-989-758-251-6; ISSN 2184-4984, SciTePress, pages 117-123. DOI: 10.5220/0006382301170123

@conference{ict4awe17,
author={Danilo Coelho. and Filipe Portela. and Manuel Filipe Santos. and José Machado. and António Abelha.},
title={A Pervasive Business Intelligence Solution to Manage Portuguese Misericordia},
booktitle={Proceedings of the 3rd International Conference on Information and Communication Technologies for Ageing Well and e-Health - ICT4AWE},
year={2017},
pages={117-123},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006382301170123},
isbn={978-989-758-251-6},
issn={2184-4984},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Information and Communication Technologies for Ageing Well and e-Health - ICT4AWE
TI - A Pervasive Business Intelligence Solution to Manage Portuguese Misericordia
SN - 978-989-758-251-6
IS - 2184-4984
AU - Coelho, D.
AU - Portela, F.
AU - Santos, M.
AU - Machado, J.
AU - Abelha, A.
PY - 2017
SP - 117
EP - 123
DO - 10.5220/0006382301170123
PB - SciTePress