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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| Formato: | commentary letter Journal Article |
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John Wiley & Sons, Inc.
Jul2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=194235381&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 194235381 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09621067 LVDZ jtl: Journal of Clinical Nursing (John Wiley & Sons, Inc.) issn: 09621067 maglogo: N pubinfo: dt: Jul2026 vid: 35 iid: 7 pid: 52269 pub: John Wiley & Sons, Inc. artinfo: ui: 194235381 192171382 194235381 194235381 10.1111/jocn.70247 194235381 ppf: 3267 ppct: 2 formats: tig: atl: 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. aug: au: Li, Min affil: School of Marxism, Southeast University, Nanjing, People's Republic of China sug: subj: Artificial Intelligence Nursing Practice Pressure Ulcer Risk Factors Prediction Models Implementation Science Pressure Ulcer Prevention and Control Pressure Ulcer Nursing ab: 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. pubtype: Academic Journal doctype: commentary letter Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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