Specifications of a Queuing Model-Driven Decision Support System for Predicting the Healthcare Performance Indicators Pertaining to the Patient Flow

Ashraf Ahmed Fadelelmoula
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Ashraf Ahmed Fadelelmoula: Prince Sattam bin Abdulaziz University, Saudi Arabia

International Journal of Decision Support System Technology (IJDSST), 2022, vol. 14, issue 1, 1-24

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.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jdsst0:v:14:y:2022:i:1:p:1-24

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