Exploring Nurses’ Acceptability and Readiness for Patient-Centered Artificial Intelligence Systems in Pressure Injury Prevention

Current nurse-led risk assessment systems require improvement for specific patient groups, affecting safety and care quality. Artificial intelligence-based systems can provide more accurate risk predictions and personalized interventions, enhancing decision-making and clinical outcomes. Although nurses are ready for AI adoption, further education is needed for full integration to optimize patient care.

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Publication Details

Journal
Advances in Skin & Wound Care
Published
2025-08-25
DOI
https://doi.org/10.1097/asw.0000000000000348
Citations
1
Primary Topic
Occupational Health and Safety Research
Type
article
Field-Weighted Citation Impact
1.54
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article

Exploring Nurses’ Acceptability and Readiness for Patient-Centered Artificial Intelligence Systems in Pressure Injury Prevention

Oleg Teleten, Tuba Şengül, Holly Kirkland‐Kyhn, Ayişe Karadağ et al.
1 citations
Advances in Skin & Wound Care
Occupational Health and Safety Research
1.54
article

Exploring Nurses’ Acceptability and Readiness for Patient-Centered Artificial Intelligence Systems in Pressure Injury Prevention

Oleg Teleten, Tuba Şengül, Holly Kirkland‐Kyhn, Ayişe Karadağ, Tuğba Cevizci, Dilek Yilmaz Akyaz
article en
1 citations

Abstract

Current nurse-led risk assessment systems require improvement for specific patient groups, affecting safety and care quality. Artificial intelligence-based systems can provide more accurate risk predictions and personalized interventions, enhancing decision-making and clinical outcomes. Although nurses are ready for AI adoption, further education is needed for full integration to optimize patient care.

Advances in Skin & Wound CareVol. 38(9)
Koç University (TR), University of California Davis Medical Center (US)
Openalex Percentile: Top 15%
Occupational Health and Safety Research
1.54
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