Healthcare Procurement and Sourcing Decision-Making Based on Analytics: Using KPI Business Intelligence Dashboards to Improve Supply Chain Management
摘要
This paper focuses on the practical application of monitoring the healthcare industry supply chain performance using Business Intelligence (BI) architecture and data analytics dashboards to identify and extract key performance indicators (KPIs) and focus on procurement, sourcing, and supply chain management. While other supply chains are complex, the healthcare supply chain operates under a compliance umbrella, making it secure yet still highly complex. It is much larger than often expected and involves significant sustainability considerations. Many health system supply chains set annual savings targets to boost efficiency, often without input from other functional or clinical areas, leading to inefficiencies and missed opportunities. This research aimed to enhance healthcare supply chain performance by leveraging key performance indicators (KPIs) and data organization techniques through a Business Intelligence (BI) dashboard architecture. Following the Design Science Research methodology, the study progressed through the stages of identifying the problem, defining solution objectives, designing and developing a tailored BI dashboard, demonstrating its application in a simulated environment with 12,000 structured data records from a major hospital in Jordan, evaluating its effectiveness using KPI analysis and visual analytics, and communicating the results. The BI dashboard improved decision-making accuracy, reduced data retrieval time, and streamlined supply chain processes. Results demonstrated measurable gains in cost-effectiveness, operational transparency, and stakeholder engagement, offering a replicable framework for integrating analytics into daily operations and fostering continuous improvement in compliance-bound, sustainability-focused healthcare environments. The results, which have significant practical implications, demonstrate that the BI dashboard can significantly improve decision-making, streamline supply chain operations, and enhance efficiency and cost-effectiveness in healthcare settings, thereby engaging stakeholders with the potential benefits of this approach and instilling a sense of optimism about the future of healthcare supply chain management.