IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

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

Pervasive Business Intelligence Platform to Support the Decision-Making Process in Waiting Lists
View Sample PDF
Author(s): Marisa Esteves (University of Minho, Portugal), Filipe Miranda (University of Minho, Portugal)and António Abelha (University of Minho, Portugal)
Copyright: 2021
Pages: 16
Source title: Research Anthology on Decision Support Systems and Decision Management in Healthcare, Business, and Engineering
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-7998-9023-2.ch041

Purchase

View Pervasive Business Intelligence Platform to Support the Decision-Making Process in Waiting Lists on the publisher's website for pricing and purchasing information.

Abstract

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.

Related Content

Yu Bin, Xiao Zeyu, Dai Yinglong. © 2024. 34 pages.
Liyin Wang, Yuting Cheng, Xueqing Fan, Anna Wang, Hansen Zhao. © 2024. 21 pages.
Tao Zhang, Zaifa Xue, Zesheng Huo. © 2024. 32 pages.
Dharmesh Dhabliya, Vivek Veeraiah, Sukhvinder Singh Dari, Jambi Ratna Raja Kumar, Ritika Dhabliya, Sabyasachi Pramanik, Ankur Gupta. © 2024. 22 pages.
Yi Xu. © 2024. 37 pages.
Chunmao Jiang. © 2024. 22 pages.
Hatice Kübra Özensel, Burak Efe. © 2024. 23 pages.
Body Bottom