Comparison of Deep Learning Based Early Warning Score and Conventional Screening System in Rapid Response Team Activation in General Ward Patients
试验速览
- 阶段
- 不适用
- 入组人数
- 50,000
- 主要终点
- In-hospital cardiac arrest
研究概览
简要总结
The objective of this study is to evaluate the safety and clinical usefulness of the Deep learning based Early Warning Score (DEWS).
详细描述
SPTTS is the representative trigger tracking system. In addition to the conventional SPTTS, DEWS will be calculated at each time point by the previously developed algorithm. SPTTS and DEWS will be shown simulataneously on the screening board. The rapid response team performs the rescue activity as before, using both SPTTS and DEWS simultaneously.
The alarm threshold setting of DEWS will be changed to 70 points, 75 points, and 80 points every month.
The primary and secondary outcomes will be evaluated to compare SPTTS and DEWS (based on each threshold).
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Patients admitted to general ward and monitored by in-hospital rapid response system
排除标准
- •patients admitted to pediatric ward
- •patients in emergency room, intensive care unit, and operating room
结局指标
主要结局
In-hospital cardiac arrest
时间窗: 3 month
Compare the predictability of in-hospital cardiac arrest between DEWS and SPTTS.
次要结局
- Total alarm count.(3 month)
- Alarm coincidence(3 month)