The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Specifications of a Queuing Model-Driven Decision Support System for Predicting the Healthcare Performance Indicators Pertaining to the Patient Flow
Abstract
This article has developed specifications for a new model-driven decision-support system (DSS) that aids the key stakeholders of public hospitals in estimating and tracking a set of crucial performance indicators pertaining to the patients flow. The developed specifications have considered several requirements for ensuring an effective system, including tracking the performance indicator on the level of the entire patients flow system, paying attention to the dynamic change of the values of the indicator's parameters, and considering the heterogeneity of the patients. According to these requirements, the major components of the proposed system, which include a comprehensive object-based queuing model and an object-oriented database, have been specified. In addition to these components, the system comprises the equations that produce the required predictions. From the system output perspective, these predictions act as a foundation for evaluating the performance indicators as well as developing policies for managing the patient flow in the public hospitals.
Related Content
Huili Xia, Feng Xue.
© 2024.
15 pages.
|
Rakesh Garg, Supriya Raheja.
© 2023.
19 pages.
|
Sérgio Pedro Duarte, Jorge Pinho de Sousa, Jorge Freire de Sousa.
© 2023.
20 pages.
|
Daouda KAMISSOKO, Didier Gourc, François Marmier, Antoine Clement.
© 2023.
21 pages.
|
Fatima C.C. Dargam, Erhard Perz, Stefan Bergmann, Ekaterina Rodionova, Pedro Sousa, Francisco Alexandre A. Souza, Tiago Matias, Juan Manuel Ortiz, Abraham Esteve-Nuñez, Pau Rodenas, Patricia Zamora Bonachela.
© 2023.
20 pages.
|
Jorge Vareda Gomes, Mário José Batista Romão.
© 2023.
15 pages.
|
Aasia Rehman, Muheet A. Butt, Majid Zaman.
© 2023.
17 pages.
|
|
|