智慧照護Smart care
Smart & AI-assisted care
臨床決策支援系統若要真的被使用,得先符合臨床的節奏。我們評估嵌入用藥警示中的診斷建議如何影響藥師與醫師的作業效率,也用兩千三百萬人的健保資料檢視長期用藥與癌症風險的關聯。另一條線是護理背景的 AI 訓練:把心率變異、情緒辨識模型變成護理人也能動手做的課程。A decision support system only gets used if it fits the rhythm of the clinic. We evaluate how diagnostic recommendations embedded in medication alerts affect the workload of pharmacists and physicians, and use national claims data covering 23 million people to examine long-term medication use and cancer risk. A second line is AI training for nurses: turning heart-rate variability and emotion-recognition models into courses nurses can actually build with.
- 臨床決策支援系統的導入成效與使用者評估Implementation outcomes and user evaluation of clinical decision support
- 真實世界資料與大型語言模型(RxLlama)用於用藥安全Real-world data and large language models (RxLlama) for medication safety
- 護理人員的跨域 AI 能力養成Cross-disciplinary AI competencies for nurses