Leading with AI in critical care nursing: challenges, opportunities, and the human factor

While AI presents opportunities for automation and data analysis, successful integration hinges on addressing concerns about overreliance, workflow adaptation, and potential bias. Building trust and fostering collaboration are fundamentals for AI integration. Transparency in AI systems allows nurses to confidently delegate tasks, while collaboration empowers them to focus on human-centered care with AI support. Ultimately, dealing with the ethical concerns of AI in ICU care requires prioritizing patient autonomy and ensuring accountability in AI-driven decisions.

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Publication Details

Journal
BMC Nursing
Published
2024-10-14
DOI
https://doi.org/10.1186/s12912-024-02363-4
Citations
46
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
5.53

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article

Leading with AI in critical care nursing: challenges, opportunities, and the human factor

Eman Arafa Hassan, Ayman Mohamed El‐Ashry
46 citations
BMC Nursing
Artificial Intelligence in Healthcare and Education
5.53
article

Leading with AI in critical care nursing: challenges, opportunities, and the human factor

Eman Arafa Hassan, Ayman Mohamed El‐Ashry
article en
46 citations

Abstract

While AI presents opportunities for automation and data analysis, successful integration hinges on addressing concerns about overreliance, workflow adaptation, and potential bias. Building trust and fostering collaboration are fundamentals for AI integration. Transparency in AI systems allows nurses to confidently delegate tasks, while collaboration empowers them to focus on human-centered care with AI support. Ultimately, dealing with the ethical concerns of AI in ICU care requires prioritizing patient autonomy and ensuring accountability in AI-driven decisions.

BMC NursingVol. 23(1)
Jouf University (SA), Alexandria University (EG)
Alexandria University
Openalex Percentile: Top 4%
Artificial Intelligence in Healthcare and Education
5.53
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