A Real-Time Early Warning System for Monitoring Inpatient Mortality Risk: Prospective Study Using Electronic Medical Record Data.

Chengyin Ye Oliver Wang Modi Liu Le Zheng Minjie Xia Shiying Hao Bo Jin Hua Jin Chunqing Zhu Chao Jung Huang Peng Gao Gray Ellrodt Denny Brennan Frank Stearns Karl G Sylvester Eric Widen Doff B McElhinney Xuefeng Bruce Ling

Published in: Journal of medical Internet research (2019)

In this study, we prospectively demonstrated the capability of the newly-designed EWS to monitor and alert clinicians about patients at high risk of in-hospital death in real time, thereby providing opportunities for timely interventions. This real-time EWS is able to assist clinical decision making and enable more actionable and effective individualized care for patients' better health outcomes in target medical facilities.

Keyphrases

healthcare
palliative care
end stage renal disease
decision making
newly diagnosed
chronic kidney disease
prognostic factors
peritoneal dialysis
mental health
machine learning
quality improvement
big data
patient reported
deep learning
drug induced