从战略角度看卫生部门的知情决策支持框架

Inf. Comput. Pub Date : 2023-06-26 DOI:10.3390/info14070363
M. Alojail, Mohanad Alturki, S. B. Khan
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引用次数: 1

摘要

本文从卫生部门的战略角度介绍了一个知情决策支持框架(IDSF),重点是沙特阿拉伯。该研究解决了沙特组织内部决策过程中存在的挑战和差距,强调了建立适当制度的必要性,并确定了阻碍知情决策的漏洞。本研究旨在回答两个关键的研究问题:(1)决策者如何确保其决策的准确性?(2)治理和控制决策结果的适当过程是什么?为了实现这些目标,本研究采用了定性研究方法,包括深入的文献综述和对沙特卫生部门决策者的访谈。拟议的IDSF填补了现有文献中的空白,为沙特组织的决策提供了一个全面和适应性强的框架。该框架包括结构化、半结构化和非结构化决策,确保全面的方法做出明智的决策。它强调将非数字信息来源整合到决策过程中的重要性,以及考虑影响决策质量和准确性的因素。该研究的方法包括通过与决策者的访谈收集数据,以及使用可视化工具来呈现和评估结果。对收集到的数据进行的分析突出了当前决策做法的不足,并为编制IDSF提供了支持。研究结果表明,所提出的框架优于现有的方法,提高了决策的准确性和效率。总的来说,本研究论文通过介绍专门为沙特卫生部门设计的新颖IDSF,为最先进的技术做出了贡献。
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An Informed Decision Support Framework from a Strategic Perspective in the Health Sector
This paper introduces an informed decision support framework (IDSF) from a strategic perspective in the health sector, focusing on Saudi Arabia. The study addresses the existing challenges and gaps in decision-making processes within Saudi organizations, highlighting the need for proper systems and identifying the loopholes that hinder informed decision making. The research aims to answer two key research questions: (1) how do decision makers ensure the accuracy of their decisions? and (2) what is the proper process to govern and control decision outcomes? To achieve these objectives, the research adopts a qualitative research approach, including an intensive literature review and interviews with decision makers in the Saudi health sector. The proposed IDSF fills the gap in the existing literature by providing a comprehensive and adaptable framework for decision making in Saudi organizations. The framework encompasses structured, semi-structured, and unstructured decisions, ensuring a thorough approach to informed decision making. It emphasizes the importance of integrating non-digital sources of information into the decision-making process, as well as considering factors that impact decision quality and accuracy. The study’s methodology involves data collection through interviews with decision makers, as well as the use of visualization tools to present and evaluate the results. The analysis of the collected data highlights the deficiencies in current decision-making practices and supports the development of the IDSF. The research findings demonstrate that the proposed framework outperforms existing approaches, offering improved accuracy and efficiency in decision making. Overall, this research paper contributes to the state of the art by introducing a novel IDSF specifically designed for the Saudi health sector.
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