A Novel Vital Sign Monitor Which Can Save Lives

Abstract

Few simple and easy to obtain physiological signs can predict the deteriorating status of pre-hospital and hospitalized patients. These signs together (after computation) generate a score known as Early Warning Score (EWS). Early Warning Score recognizes deteriorating status of patients objectively and quickly. Early recognition of deteriorating status in patients can save lives and prevent morbidity. But many studies have shown that though it is theoretically simple to compute EWS it is difficult to implement both at hospital and community levels. This is mainly due to multiple factors affecting the proper collection and analysis of clinical data (vital signs). We present the concept of a novel vital sign monitor which not only collects the clinical data but analyzes the data in such a manner that hospital staff can recognize patients at risk of deterioration and prevent unnecessary mortality and morbidity.