Al-Zaiti Lab

Research focus

NIH R01 · 2024

Predicting Patient Instability Noninvasively for Nursing Care – Three (PPINNC-3)

PREDICTING PATIENT INSTABILITY NONINVASIVELY FOR NURSING CARE (PPINNC-3) Project Summary Timely recognition and forecasting of cardiorespiratory instability (CRI) in hospitalized patients in step-down units (SDU) has clear implications for strategies to reduce preventable morbidity and mortality. Continuous noninvasive vital signs (VS) monitoring is widely used to facilitate nurse detection of actionable events requiring a diagnostic or therapeutic response, yet failure-to-rescue rates in US hospitals, defined as death due to complications, remain high. Traditional VS monitoring alarms are largely based on numeric threshold exceedance, translating to very low true positive rates and…

From the public funding record at NIH RePORTER. Describes the funded project, not the reviews below.