The race against the clock: Can artificial intelligence help nurses thwart "Code Blue" events?

Abstract

Every second carries profound significance within the complex environment of a healthcare ward/unit. Nurses, the linchpins of patient care, continually monitor vital signs, administer medications, and provide emotional support in highly stressful work environments. However, a chilling phrase can disrupt the tranquility amidst the hospital's routine tasks and processes – "code blue". Code blue events signify a patient experiencing cardiac arrest or respiratory failure, necessitating immediate resuscitation efforts. The efficacy of these critical interventions hinges upon early recognition – a race against time where even a paucity of minutes can determine the difference between life and death [1, 2]. Artificial intelligence (AI) in health care is emerging as a vital tool in preventing such life-threatening incidents by enhancing early detection, continuous monitoring, and predictive data analysis within the hospital setting.