AI frontiers in emergency care: the next evolution of nursing interventions

This scoping review explores the utilization of artificial intelligence in emergency nursing, assessing its impact, potential benefits, and the obstacles faced in its adoption. It covers the scope of AI from advanced triage protocols to continuous monitoring of patients, assistance in diagnosis, and providing support for clinical decisions. The review notes that AI in emergency healthcare can lead to more efficient care and timely, data-driven actions, but also highlights significant issues such as safeguarding patient data, the necessity for dependable infrastructure, and concerns over discriminatory algorithms. The promise of AI in improving emergency healthcare practices and patient care is clear, yet the identified challenges must be carefully navigated to promote safe and ethical use. Further empirical research is called for to confirm the effectiveness of AI applications in the dynamic environment of emergency care setups.

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Publication Details

Journal
Frontiers in Public Health
Published
2024-12-11
DOI
https://doi.org/10.3389/fpubh.2024.1439412
Citations
9
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
1.08

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article

AI frontiers in emergency care: the next evolution of nursing interventions

Zakaria A. Mani, Bander Albagawi
9 citations
Frontiers in Public Health
Artificial Intelligence in Healthcare and Education
1.08
article

AI frontiers in emergency care: the next evolution of nursing interventions

Zakaria A. Mani, Bander Albagawi
article en
9 citations

Abstract

This scoping review explores the utilization of artificial intelligence in emergency nursing, assessing its impact, potential benefits, and the obstacles faced in its adoption. It covers the scope of AI from advanced triage protocols to continuous monitoring of patients, assistance in diagnosis, and providing support for clinical decisions. The review notes that AI in emergency healthcare can lead to more efficient care and timely, data-driven actions, but also highlights significant issues such as safeguarding patient data, the necessity for dependable infrastructure, and concerns over discriminatory algorithms. The promise of AI in improving emergency healthcare practices and patient care is clear, yet the identified challenges must be carefully navigated to promote safe and ethical use. Further empirical research is called for to confirm the effectiveness of AI applications in the dynamic environment of emergency care setups.

Frontiers in Public HealthVol. 12
Imam Mohammad ibn Saud Islamic University (SA), University of Ha'il (SA), Jazan University (SA)
Jazan University
Openalex Percentile: Top 20%
Artificial Intelligence in Healthcare and Education
1.08
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