商業視覺化儀表板於醫療營運決策之應用

The Application of Business Visualization Dashboards in Healthcare Operational Decision-Making

本專案旨在導入商業智慧視覺化工具，構建以企業績效管理為核心的多維度營運效益儀表板，藉此優化醫療部門之資源配置效率與財務決策品質。個案醫院分析發現，傳統醫療管理高度仰賴靜態財務報表與手動Excel彙整，存在資料轉製繁瑣、多層次人工作業導致的數據錯誤風險及決策資訊滯後等核心挑戰。本專案串接Microsoft SQL Server資料倉儲，透過資料擷取、轉製、載入之自動化流程取代傳統模式，並定義收入、人力、材料與藥品成本之多維度監測指標，旨在建立決策支援系統。結果顯示視覺化儀表板能顯著提升營運異常的偵測敏感度。以高值耗材管理為例，系統成功即時察覺2023年5-6月之材料成本異常波動（佔收入比增加5%），並定位特定供應商耗用品項，促成採購部門進行專案議價。在專案導入後，臨床部門展現顯著之經濟效益：人力效益提升1.6%、材料成本佔收入比下降0.5%、藥品成本佔收入比下降1.7%；整體營運效益提升約3.7%。資料視覺化不僅能優化數據處理效率與準確性，更能消弭醫護與行政部門間的資訊不對稱，促進跨部門溝通協作。透過數據驅動管理模式，能從事後審核轉型為即時洞察，達成智慧化營運管理與財務永續發展。

This project aimed to implement business intelligence visualization tools and develop a multidimensional operational performance dashboard centered on enterprise performance management. The goal was to optimize the efficiency of resource allocation and enhance the quality of financial decision-making in medical departments. The case hospital determined that traditional medical management relies heavily on static financial reports and manual Excel-based data aggregation. This approach poses several critical operational challenges, including cumbersome data transformation, an increased risk of errors resulting from multilayered manual processing, and delayed access to decision-support information. To address these challenges, this project integrated data from an existing Microsoft SQL Server data warehouse and replaced manual workflows with an automated extract, transform, and load pipeline. Furthermore, the project defined multidimensional monitoring indicators covering revenue, labor, material, and pharmaceutical costs to establish a robust decision support system. Results: The visualization dashboard significantly enhanced the sensitivity of operational anomaly detection. For example, in the management of high-value consumables, the system identified abnormal fluctuations in material costs between May and June 2023 (an increase of 5% in the material cost proportion). By tracing the anomaly to consumable products supplied by specific vendors, the system enabled the procurement department to initiate targeted price negotiations. After the implementation of the system, the clinical department achieved substantial financial improvements: labor efficiency increased by 1.6%, the material cost-to-revenue ratio decreased by 0.5%, and the pharmaceutical cost-to-revenue ratio decreased by 1.7%. The overall operational efficiency improved by approximately 3.7%. Data visualization not only improves the efficiency and accuracy of data processing but also reduces information asymmetry between clinical and administrative departments, thereby fostering interdepartmental collaboration. By adopting a data-driven management model, healthcare organizations can transition from retrospective auditing to real-time insights, thereby achieving intelligent operational management and long-term financial sustainability.