商業智慧工具Power BI 應用於醫療品質管理指標儀表板建置與管理效能之初探-以中部某醫學中心為例

本研究以中部某醫學中心為例，探討商業智慧工具 Power BI 應用於醫療品質指標儀表板之建置過程與管理成效。因應傳統指標監測作業依賴人工彙整、時效性與準確性不足等限制，研究透過 Power BI 建置「出院三日內再急診率」與「十四天內再入院率」等視覺化模組，整合自動化 ETL 流程與互動式圖表設計，提升資料整合效率與例外管理能力。採用雛型開發模式進行建置，並依實務需求調整指標邏輯與視覺化配置。研究結果顯示，導入後資料產出時間由平均 26.8 分鐘顯著縮短至 2.4 分鐘，節省超過 90%。然而，指標波動仍可能受到臨床照護、病人狀況與季節因素影響，故無法單一歸因於系統導入，需結合臨床與行政面共同檢視。本研究亦揭示系統建置初期所面臨之技術轉換與資料結構落差等挑戰，透過教育訓練、模組化設計與知識傳承策略，有效協助指標管理人員由仰賴資訊支援，逐步轉型為自主維運。研究除驗證 Power BI 在品質管理應用的可行性，亦提供智慧醫療轉型歷程中，關於系統導入模式、資料治理機制與組織學習策略之實證參考。

This study investigates the application of the business intelligence tool Power BI in the construction and management of healthcare quality indicator dashboards. Addressing the limitations of traditional manual processes—such as inefficiency, lack of real-time responsiveness, and high dependency on personnel—the study adopts a case from a regional medical center in central Taiwan. Two key hospital-wide indicators, “14-day readmission rate” and “3-day post-discharge emergency visit rate,” were developed into automated, interactive dashboards using Power BI, incorporating ETL (Extract, Transform, Load) automation and visual analytics components to enhance data immediacy and user engagement.Using a prototyping development model, the system was iteratively refined based on practical needs. Power Query and DAX expressions were employed to standardize indicator logic and query mechanisms. Empirical results showed that the average time required to generate indicator reports decreased significantly from 26.8 minutes to 2.4 minutes—a 91% improvement in efficiency. However, the study also acknowledges that indicator fluctuations may be influenced by clinical practices, patient complexity, or seasonal factors, and thus cannot be solely attributed to BI system implementation. Challenges encountered during the early adoption phase included discrepancies in data schema, SQL-to-M transformation logic, and limited familiarity with BI tools among users. These were addressed through internal training and modular design, enabling indicator managers to transition toward independent dashboard maintenance and fostering cross-departmental communication and organizational learning.In conclusion, this study demonstrates the feasibility and effectiveness of Power BI in healthcare quality management, providing a validated reference for hospitals seeking to implement digital governance, support evidence-based management, and promote data-driven quality improvement practices.