Early recognition of delirium is essential for effective management, but it often goes unrecognized, resulting in adverse outcomes. Clinical decision support systems can enhance adherence to guidelines and improve patient outcomes. We developed a mobile-based clinical decision assessment tool (3D-DST) based on the 3-minute diagnostic interview for confusion assessment method-defined delirium (3D-CAM). Implementing the 3D-DST may enhance delirium recognition and adherence to interventions among healthcare professionals, potentially improving outcomes in older adults.

中文翻译：

---

有和没有临床决策评估系统识别谵妄对住院老年人结局的比较效果： 整群随机对照试验


早期识别谵妄对于有效管理至关重要，但往往未被识别，导致不良结局。临床决策支持系统可以提高对指南的依从性并改善患者预后。我们开发了一种基于移动的临床决策评估工具 （3D-DST），该工具基于意识模糊评估方法定义谵妄的 3 分钟诊断访谈 （3D-DST）。实施 3D-DST 可能会提高医疗保健专业人员对谵妄的识别和对干预的依从性，从而有可能改善老年人的预后。