A Multi-Criteria Decision Analysis Approach to Assessing Business Intelligence Tool Selection for Data-Driven Decision Support in Healthcare Organizations
Keywords:
Business Intelligence, Healthcare Informatics, Multi-Criteria Decision Analysis, Analytic Hierarchy Process, Decision Support Systems, Digital HealthAbstract
In an era of increasing digitalization, healthcare organizations are compelled to adopt Business Intelligence (BI) tools that support data-driven decision-making to enhance patient outcomes, operational efficiency, and resource allocation. This paper employs a Multi-Criteria Decision Analysis (MCDA) framework to evaluate and prioritize BI tools based on healthcare-specific requirements. The criteria include data integration capacity, user-friendliness, interoperability, cost-efficiency, real-time analytics capabilities, and compliance with health information standards. Using the Analytic Hierarchy Process (AHP), this study assesses the most suitable BI solutions for healthcare settings by integrating expert evaluations. The results suggest that a combination of decision-making transparency and customizable dashboards significantly improves the strategic value of BI platforms. The findings aim to guide healthcare managers in making informed, multi-faceted tool selection decisions aligned with organizational goals.
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Copyright (c) 2021 Mohamed Al-Farsi (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
