職業性血液暴露視覺化系統──Power BI資料分析與應用

Occupational Blood Exposure Visualization System–Power BI Real-Time Data Analysis and Application

本研究針對醫療機構中職業性血液暴露事件的管理分析，基於Power BI的視覺化資料分析系統，旨在提升資料處理效率並支援管理者進行更精準的決策。職業性血液暴露事件主要集中於日間班次（08:00-16:00），此時段因醫療工作壓力與病患流動量較大而風險顯著增加。研究顯示，護理師為暴露事件的主要高風險群體佔（55.4%），左手手指為最常受傷部位（佔47.4%），治療階段暴露風險最高（48.4%），其次為整理階段（39.5%）。丟棄式注射針頭是最主要的針扎傷害來源，凸顯規範操作與安全針具使用的重要性。此外，工作年資少於1年的醫療人員因經驗不足，成為高風險群體（佔37.7%）。透過Power BI的即時資料更新、互動篩選功能及多維度資料展示，管理者能快速掌握暴露事件的趨勢與關鍵風險點，顯著縮短資料分析時間並減少手動錯誤，從而制定更具針對性與有效性的預防策略。本研究結果表明，該系統能有效提升管理者在事件監控與決策中的效能，為醫療機構的職業暴露管理提供了高效、可靠的數據支援。建議未來將Power BI的應用範圍擴充至感染管制部門的其他業務分析，整合更多資料來源，並根據不同部門需求設計個人化的視覺化配置，進一步提升系統的實用性與功能，以應對不斷變化的醫療環境挑戰。

This study focuses on the management and analysis of occupational blood exposure incidents in healthcare institutions through a Power BI-based visual data analysis system. The system aims to improve data processing efficiency and support managers in making more precise decisions. Occupational blood exposure incidents are primarily concentrated during daytime shifts (08:00-16:00), a period characterized by higher work pressure and patient flow, leading to significantly increased risks. The study reveals that nurses are the primary high-risk group for exposure incidents, accounting for 55.4%, with the left fingers being the most commonly injured site (47.4%). The treatment phase poses the highest exposure risk (48.4%), followed by the cleanup phase (39.5%). Disposable injection needles are the leading cause of needlestick injuries, underscoring the importance of standardized procedures and the use of safety needles. Additionally, healthcare workers with less than one year of experience, due to insufficient expertise, constitute a high-risk group (37.7%).
Through Power BI’s real-time data updates, interactive filtering features, and multidimensional data visualization, managers can quickly identify trends and key risk points associated with exposure incidents. This significantly reduces data analysis time, minimizes manual errors, and facilitates the development of more targeted and effective prevention strategies. The findings of this study demonstrate that the system can effectively enhance managers' efficiency in incident monitoring and decision-making, providing efficient and reliable data support for managing occupational exposure in healthcare institutions.
It is recommended to extend the application of Power BI to other analytical tasks in infection control departments, integrating more data sources. Additionally, designing personalized visual configurations tailored to the needs of different departments can further enhance the system's practicality and functionality, enabling it to address the evolving challenges of healthcare environments.