面對全球抗生素耐藥性日益嚴峻的挑戰，林口長庚紀念醫院透過資訊化策略與跨部門合作，建構以病人為中心的抗生素管理體系。本文詳述本院導入抗生素線上審核系統(HCAAS)、臨床決策支援系統(CDSS)、抗菌譜平台與BI智慧儀表板等措施，結合藥師審方與臨床介入，有效提升抗生素使用安全與療效。以菌血症預警系統為例，實施後顯著縮短適當用藥時間，並降低死亡率與住院天數。未來將導入AI預測模型強化個案決策，並推動制度永續與全國資料串接。此為臺灣醫療體系中抗藥性管理智慧轉型的實證案例。

In response to the global challenge of antimicrobial resistance, Linkou Chang Gung Memorial Hospital has developed a patient-centered antimicrobial stewardship framework that leverages digital integration and interprofessional collaboration. This article outlines the implementation of key systems, including computerized antimicrobial approval system (CAAS), a clinical decision support system (CDSS), antibiogram integration, and business intelligence dashboards. Pharmacistled interventions and real-time alerts enabled improvements in antibiotic safety and efficacy. For example, the bacteremia alert system reduced the time to appropriate therapy, reduced mortality, and shortened intensive care unit stay. Future initiatives will focus on artificial intelligence-based predictive models to strengthen individual case decisions, and nationwide data integration to ensure long-term sustainability. This model represents a practical and intelligent approach to managing antimicrobial resistance within Taiwan’s healthcare system.