The effect of artificial intelligence assisted evidence-based nursing on psychological distress relief and nursing satisfaction of patients with respiratory diseases.

Heart LungJun 2, 2026 (epub)
Clinical ResearchPulmonology

Xinru Chen, Daiyan Wei, Zhongmei Chen et al.

✦ AI-curated · Sources linked

In 30 seconds

This randomized controlled trial evaluated the impact of AI-assisted evidence-based nursing on psychological distress and nursing satisfaction in 82 patients with respiratory diseases. The study found that the experimental group experienced significantly lower scores in psychological distress measures (K10, SAS, SDS) and higher nursing satisfaction after 4 weeks, with all results showing P < 0.05.

Key findings

  • The experimental group had significantly lower K10 scores compared to the control group (P < 0.05).
  • Anxiety and depression scores (SAS, SDS) were also significantly lower in the AI-assisted group (P < 0.05).
  • Nursing satisfaction was higher in the AI-assisted group (P < 0.05).
  • Nursing response time was shorter, and health knowledge and treatment compliance were higher in the experimental group (P < 0.05).

Why it matters

The findings suggest that integrating AI into nursing practices can enhance patient care by reducing psychological distress and improving satisfaction, which is crucial for managing chronic respiratory conditions.

Source

PubMed · PMID 42229307

Published in Heart Lung. This summary was written by xxcode from the publication's abstract and metadata. It is not peer reviewed and is not a substitute for the original article. For clinical decisions, review the original publication.

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