Linking AI for Intervention Strategies: A systematic Review for Nursing

Artificial intelligence (AI) has revolutionized many industries, with healthcare atthe forefront. AI-driven predictive analytics holds significant potential for earlyintervention in nursing management, promising enhanced patient outcomes.This paper evaluates AI-driven predictive analytics in nursing by examining itscurrent state, advancements, benefits, and challenges. Peer-reviewed articlesfrom 2018 to 2024 reveal that AI models improve nurses’ ability to identifyat-risk elements, optimize resource allocation, and initiate timely interventions,reducing hospital-acquired infections, readmission rates, and improving patientsafety. Challenges include data quality issues, the need for specialized training,and ethical considerations. This systematic review aims to inform healthcareprofessionals about the potential of predictive analytics to revolutionize earlyintervention strategies.

Publication Details

Journal
Edinburgh Napier Research Repository (Edinburgh Napier University)
Published
2024-12-31
Primary Topic
Magnetic confinement fusion research
Type
article
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article

Linking AI for Intervention Strategies: A systematic Review for Nursing

Edinburgh Napier Research Repository (Edinburgh Napier University)
Magnetic confinement fusion research
article

Linking AI for Intervention Strategies: A systematic Review for Nursing

article en

Abstract

Artificial intelligence (AI) has revolutionized many industries, with healthcare atthe forefront. AI-driven predictive analytics holds significant potential for earlyintervention in nursing management, promising enhanced patient outcomes.This paper evaluates AI-driven predictive analytics in nursing by examining itscurrent state, advancements, benefits, and challenges. Peer-reviewed articlesfrom 2018 to 2024 reveal that AI models improve nurses’ ability to identifyat-risk elements, optimize resource allocation, and initiate timely interventions,reducing hospital-acquired infections, readmission rates, and improving patientsafety. Challenges include data quality issues, the need for specialized training,and ethical considerations. This systematic review aims to inform healthcareprofessionals about the potential of predictive analytics to revolutionize earlyintervention strategies.

Edinburgh Napier Research Repository (Edinburgh Napier University)
Openalex Percentile: Top 47%
Magnetic confinement fusion research
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