目的：本專案針對外科病房傳統護理稽核流程人力耗損高、資料分散與即時監測不足的問題，導入Microsoft Power BI結合護理資訊系統(Nursing information System, NIS)，建置智慧化稽核平台以提升醫療品質與效率。方法：依據資訊系統建置四大構面，選取五項具實證價值之護理品質指標，並以擷取、轉換、載入(extract transform load, ETL)流程整合NIS、電子病歷(electronic medical record, EMR)、醫療資訊系統(hospital information system, HIS)資料，建置Power BI視覺化儀表板。設定目標並以系統自動報表進行每月追蹤，以確保改善成效。結果：導入後，稽核人力自10人降至5人，時間由400分鐘縮短至25分鐘，效率提升93.75%。系統自動生成報表並結合異常警示，強化即時監測與決策；紙本改為雲端儲存，有效降低遺失風險。結論：本專案透過Power BI與NIS整合成功推動數位轉型，並以臨床實證指標驗證其對病人安全與護理品質的成效，提供外科護理管理智慧化的標竿案例。

Purpose: This project aimed to address inefficiencies in traditional nursing audits processes in surgical wards, including high manpower consumption, fragmented data, and insufficient real-time monitoring, by integrating Microsoft Power BI with a nursing information system (NIS) to establish an intelligent audit platform. Methods: Based on four key dimensions: appropriateness, relevance, applicability, and failure prevention, five evidence-based nursing quality indicators were selected. An extract, transform, and load (ETL) processes was used to integrate data from the NIS, electronic medical records (EMR), and hospital information system (HIS) into a Power BI dashboard. Targets were set, and automated reports were generated for monthly tracking to ensure continuous quality improvement. Results: Following implementation, manpower requirement were decreased from 10 to 5 staff members per month, and average audit time decreased from 400 to 25 minutes, representing a 93.75% improvement in efficiency. Automated reporting and anomaly alerts strengthened realtime monitoring and decision-making, while the shift from paper-based records to cloud storage significantly minimized the risk of data loss. Conclusion: Integrating Power BI with an NIS enabled the digital transformation of nursing audits. The system demonstrated positive impacts on patient safety and care quality, serving as a benchmark model for intelligent nursing management.