Neonatal nurses’ experiences with generative AI in clinical decision-making: a qualitative exploration in high-risk nicus

Generative AI can support neonatal nurses in clinical decision-making, but its effectiveness depends on structured training, reliable infrastructure, and culturally sensitive implementation. These findings provide evidence-based insights for policymakers and healthcare leaders to ensure AI integration enhances nursing expertise while maintaining safe, patient-centered care.

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Publication Details

Journal
BMC Nursing
Published
2025-04-07
DOI
https://doi.org/10.1186/s12912-025-03044-6
Citations
18
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
11.78
Controls
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article

Neonatal nurses’ experiences with generative AI in clinical decision-making: a qualitative exploration in high-risk nicus

Afrah Madyan Alshammari, Abeer Nuwayfi Alruwaili, Nadia Bassuoni Elsharkawy, Osama Mohamed Elsayed Ramadan et al.
18 citations
BMC Nursing
Artificial Intelligence in Healthcare and Education
11.78
article

Neonatal nurses’ experiences with generative AI in clinical decision-making: a qualitative exploration in high-risk nicus

Afrah Madyan Alshammari, Abeer Nuwayfi Alruwaili, Nadia Bassuoni Elsharkawy, Osama Mohamed Elsayed Ramadan, Ali Alhaiti, Sayed Ibrahim Ali
article en
18 citations

Abstract

Generative AI can support neonatal nurses in clinical decision-making, but its effectiveness depends on structured training, reliable infrastructure, and culturally sensitive implementation. These findings provide evidence-based insights for policymakers and healthcare leaders to ensure AI integration enhances nursing expertise while maintaining safe, patient-centered care.

BMC NursingVol. 24(1)
Alfaisal University (SA), Cairo University (EG), Jouf University (SA), King Faisal University (SA)
Peace, Justice and strong institutions
Openalex Percentile: Top 2%
Artificial Intelligence in Healthcare and Education
11.78
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Neonatal nurses’ experiences with generative AI in clinical decision-making: a qualitative exploration in high-risk nicus — Afrah Madyan Alshammari, Abeer Nuwayfi Alruwaili, et al. · BMC Nursing (2025) | TGRS Research Map | TGRS