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

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.

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Publication Details

Journal
Journal of Nursing Reports in Clinical Practice
Published
2024-09-22
DOI
https://doi.org/10.32598/jnrcp.2406.1119
Primary Topic
Healthcare Technology and Patient Monitoring
Type
article
Field-Weighted Citation Impact
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article

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

Joseph Osuji
Journal of Nursing Reports in Clinical Practice
Healthcare Technology and Patient Monitoring
article

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

Joseph Osuji
article en

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.

Journal of Nursing Reports in Clinical PracticeVol. 3(1)
Mount Royal University (CA)
Openalex Percentile: Top 70%
Healthcare Technology and Patient Monitoring
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The race against the clock: Can artificial intelligence help nurses thwart "Code Blue" events? — Joseph Osuji · Journal of Nursing Reports in Clinical Practice (2024) | TGRS Research Map | TGRS