Validation of early warning score using VIGO vitals solution
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 发起方
- 入组人数
- 60
- 试验地点
- 1
- 主要终点
- The correlation of AI generated warning signals verses Physician generated National Early Warning Score (NEWS)
研究概览
简要总结
this study is conducted to validate a multi-vital monitoring device called as vigo (Vitals in a go) solutions that measures Respiratory rate, pulse rate, heart rate, blood pressure,oxygen saturation and temperature, the vitals recorded will be transfered with the help of cloud technology through app to treating physician and command center continuously, Artificial intelligence based early warning signal will be generated to alert during the time of emergency. The AI Based results will be compared with standard procedure based results for degree of correlation.
研究设计
- 研究类型
- Interventional
- 分配方式
- Na
- 盲法
- None
入排标准
- 年龄范围
- 18.00 Year(s) 至 75.00 Year(s)（—）
- 性别
- All
入选标准
- •Moderately ill patients
- •step down ICU patients.
排除标准
- •critically ill patients
- •ICU patients.
结局指标
主要结局
The correlation of AI generated warning signals verses Physician generated National Early Warning Score (NEWS)
时间窗: 0,6,12,24,30,36,48 Hours
次要结局
- The correlation of vigo solution generated vitals (PR, HR, RR, Temperature, BP, SpO2) verses Standard methods generated vitals(0,6,12,24,30,36,48 Hours)
研究者
Dr Rajiv Kumar Bandaru
ESIC Medical College and Hospital