Cover Image
QR Code

From Algorithms to Trust: Re‐Engineering Nursing Practice With AI...Spoon D, de Vroed A, Greup S, et al. Integrating Artificial Intelligence in Nursing Practice With Decubitus Risk Prediction Alerts: A Pilot Process Evaluation. J Clin Nurs. 2026 Jan 20. doi: 10.1111/jocn.70212.

The article focuses on a pilot study evaluating the DRAAI (Dynamic Risk Assessment Artificial Intelligence) system, a pressure injury prediction tool designed for clinical nursing use. The study highlights the challenges of integrating AI into healthcare, emphasizing that successful implementation d...

Full description

Published in:Journal of Clinical Nursing (John Wiley & Sons, Inc.) Vol. 35; no. 7; pp. 3250 - 3252
Main Authors: Xu, Qingyuan, Lin, Huafang
Format: commentary letter Journal Article
Published: John Wiley & Sons, Inc. Jul2026
Online Access:View this record in EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=194235373&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 194235373
    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:
        194235373
        191346872
        194235373
        194235373
        10.1111/jocn.70233
        194235373
      ppf: 3250
      ppct: 2
      formats:
      tig:
        atl: From Algorithms to Trust: Re‐Engineering Nursing Practice With AI...Spoon D, de Vroed A, Greup S, et al. Integrating Artificial Intelligence in Nursing Practice With Decubitus Risk Prediction Alerts: A Pilot Process Evaluation. J Clin Nurs. 2026 Jan 20. doi: 10.1111/jocn.70212.
      aug:
        au:
          Xu, Qingyuan
          Lin, Huafang
        affil: Hangzhou Red Cross Hospital, Hangzhou, China
      sug:
        subj:
          Artificial Intelligence Utilization
          Pressure Ulcer Prevention and Control
          Nursing Practice
          Pressure Ulcer Risk Factors
          Risk Assessment
          Decision Support Systems, Clinical
          Workflow
          Patient Safety
          Early Diagnosis
          Hospital Information Systems
          Implementation Science
          Trust
          Prediction Algorithms
          Prediction Models
          Automation
      ab: The article focuses on a pilot study evaluating the DRAAI (Dynamic Risk Assessment Artificial Intelligence) system, a pressure injury prediction tool designed for clinical nursing use. The study highlights the challenges of integrating AI into healthcare, emphasizing that successful implementation depends more on relational and social workflow factors than on technical accuracy alone. Nurses valued DRAAI primarily as a reminder rather than a definitive decision-maker, underscoring the need for AI systems to support rather than replace clinical judgment. The study also identifies critical issues such as the demand for algorithmic explainability, risks of over-reliance on AI potentially diminishing core nursing skills, and the importance of involving patients to create a collaborative care model. Overall, the research calls for future work to address professional autonomy, real-time transparency, and the long-term impact of AI on clinical practice.
      pubtype: Academic Journal
      doctype:
        commentary
        letter
        Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N