Toward Human‐Centred Technology Integration in Healthcare: Lessons From an AI‐Powered Nursing Pilot...Spoon D, De Vroed A, Greup S, et al. Integrating Artificial Intelligence in Nursing Practice With Decubitus Risk Prediction Alerts: A Pilot Process Evaluation. Journal of Clinical Nursing. 2026; 20.
This article evaluates the integration of the DRAAI artificial intelligence (AI) model for pressure ulcer (PU) risk prediction into nursing practice, highlighting challenges in implementation. Key issues include balancing AI assistance with nursing professional autonomy to avoid automation bias, the...
| Publicado en: | Journal of Clinical Nursing (John Wiley & Sons, Inc.) Vol. 35; no. 7; pp. 3267 - 3269 |
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| Autor principal: | |
| Formato: | commentary letter Journal Article |
| Publicado: |
John Wiley & Sons, Inc.
Jul2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| Sumario: | This article evaluates the integration of the DRAAI artificial intelligence (AI) model for pressure ulcer (PU) risk prediction into nursing practice, highlighting challenges in implementation. Key issues include balancing AI assistance with nursing professional autonomy to avoid automation bias, the need for enhanced algorithmic transparency to build trust through explainable AI features, and the importance of validating the model across diverse clinical settings to ensure generalizability. The authors emphasize that successful AI adoption in nursing requires deliberate design fostering human-AI collaboration, ongoing trust-building, and rigorous external validation before broader deployment. |
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