智能化管理機制在疼痛護理中的應用

The Application of Intelligent Management Mechanism in Pain Nursing

目的：疼痛管理的資料因分散於各系統，逐筆查看耗時且繁瑣，難以及時掌握護理人員在疼痛處理方面的問題。為確保臨床服務品質並優化流程，團隊導入商業智慧軟體（Power Business Intelligence，Power BI），整合大數據並即時更新資料，創新智能化的疼痛管理模式，期望提升行政效率。
方法：建構疼痛品質指標，首創導入Power BI設置疼痛監測儀表板，應用於51個護理部門。經疼痛委員會制定標準化及品質管理流程，即時掌握疼痛照護情況，調整和改善疼痛管理計劃。
結果：截至2023年4月30日，護理部主管們實際操作後，資料分析顯著縮減99.62%的作業時間護理人員給予針劑止痛藥物後，30分鐘內有效疼痛評估紀錄達86.91%，完成率前後提升中、重度疼痛指數分別下降16.6%及42.8%，住院病人對於疼痛處理的滿意度提升15.6%。
結論：結合疼痛護理與Power BI技術的應用，以數據為基礎的管理模式強化了管理者對疼痛管理的即時監控能力，也促進跨領域整合照護團隊的合作，確保病人能獲得持續且高品質的照護。

Objective: The data for pain management is dispersed across various systems, making it time-consuming and cumbersome to review each entry individually. This makes it challenging for managers to promptly identify issues related to nursing staff's pain management practices. To ensure the quality of clinical services and optimize processes, the team has implemented business intelligence software (Power Business Intelligence, Power BI). This integration of big data with real-time updates fosters an innovative and intelligent pain management model, aiming to enhance administrative efficiency.
Methods: Constructing pain quality indicators, the team pioneered the implementation of Power BI to establish pain monitoring dashboards, applied across 51 nursing departments. Through the Pain Committee's formulation of standardized quality management processes, we promptly grasp the status of pain care, adjusting and improving pain management plans accordingly.
Results: As of April 30, 2023, following practical implementation by nursing department supervisors, data analysis significantly reduced operational time by 99.62%. Within 30 minutes after administration of injectable pain medication, effective pain assessment records reached 86.91%, marking a 54.8% increase in completion rate. Moderate and severe pain indices decreased by 16.6% and 42.8% respectively. Inpatient satisfaction with pain management increased by 15.6%.
Conclusion: The integration of pain nursing with Power BI technology, through a data-driven management approach, strengthens managers' real-time monitoring capabilities in pain management. It also promotes collaboration among interdisciplinary care teams, ensuring that patients receive continuous, high-quality care.