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

IF 0.6 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS International Journal of Decision Support System Technology Pub Date : 2022-01-01 DOI:10.4018/ijdsst.286676
A. A. Fadelelmoula
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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 patients flow in the public hospitals.
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用于预测与患者流相关的医疗保健性能指标的排队模型驱动的决策支持系统规范
本文为一种新的模型驱动决策支持系统(DSS)开发了规范,该系统可帮助公立医院的主要利益相关者估计和跟踪一组与患者流量相关的关键绩效指标。制定的规范考虑了确保系统有效的几个要求,包括在整个患者流系统层面跟踪绩效指标,关注指标参数值的动态变化,考虑患者的异质性。根据这些要求,提出了系统的主要组成部分,包括一个综合的基于对象的排队模型和一个面向对象的数据库。除了这些组成部分,该系统还包括产生所需预测的方程式。从系统输出的角度来看,这些预测是评估绩效指标和制定公立医院患者流量管理政策的基础。
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来源期刊
International Journal of Decision Support System Technology
International Journal of Decision Support System Technology COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
2.20
自引率
18.20%
发文量
40
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