Bridging generational gaps in medication safety: insights from nurses, students, and generative AI models

The study highlights generational differences in medication safety approaches and suggests potential benefits of incorporating GenAI as an additional verification layer. These findings contribute to improving nursing education and practice through technological advancements while addressing persistent medication calculation challenges.

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Publication Details

Journal
BMC Nursing
Published
2025-04-07
DOI
https://doi.org/10.1186/s12912-025-03034-8
Citations
3
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
1.96
Controls
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article

Bridging generational gaps in medication safety: insights from nurses, students, and generative AI models

Mor Saban, Erika Kerner, Chedva Levin, Brurya Orkaby
3 citations
BMC Nursing
Artificial Intelligence in Healthcare and Education
1.96
article

Bridging generational gaps in medication safety: insights from nurses, students, and generative AI models

Mor Saban, Erika Kerner, Chedva Levin, Brurya Orkaby
article en
3 citations

Abstract

The study highlights generational differences in medication safety approaches and suggests potential benefits of incorporating GenAI as an additional verification layer. These findings contribute to improving nursing education and practice through technological advancements while addressing persistent medication calculation challenges.

BMC NursingVol. 24(1)
Tel Aviv University (IL), Jerusalem College of Technology (IL), Sheba Medical Center (IL), Shaare Zedek Medical Center (IL)
Openalex Percentile: Top 12%
Artificial Intelligence in Healthcare and Education
1.96
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