+ HEALTH Aims Intramuscular fat (IMF) is increasingly recognized as a marker of ectopic adiposity and adverse cardiome…+ HEALTH Periapical lesions are challenging to detect on intraoral radiographs because of anatomical superimposition a…± HEALTH Ultrasound imaging is an indispensable diagnostic tool, yet its profound reliance on operator expertise inher…+ HEALTH Objectives We adapted the individualized polysocial risk score (iPsRS), a machine learning model originally d…± HEALTH Melioidosis is a life-threatening infectious disease caused by Burkholderia pseudomallei ( Bp ). Rapid diagno…+ HEALTH Classification is a core machine learning task, and ensemble voting methods are widely used to improve predic…+ CLIMATE Microplastic (MP) pollution poses escalating environmental risks, demanding efficient and reproducible tools…± HEALTH Medicinal chemistry sits at the center of modern drug discovery, yet translating molecular designs into appro…
TruaceTracing the truth around AIWednesday, August 26, 2026
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Health·G Space·Evidence-backed gain·Published 2026-08-26

The Importance of Artificial Intelligence in Nursing: A Fundamentals of Care Perspective

Abstract: Aim To analyze the integration of Artificial Intelligence in nursing through the lens of the Fundamentals of Care framework. Design A discursive paper. Methods This discursive paper synthesizes current literature and theoretical perspectives to examine the Relationship, Integration and Context dimensions of the Fundamentals of Care framework in the era of Artificial Intelligence. Results Artificial Intelligence offers substantial benefits in optimizing workflow (Context) and clinical precision (Integration) thro…

TRV-2026-0892Peer-reviewedPermanent record — cite & verify
The Importance of Artificial Intelligence in Nursing: A Fundamentals of Care Perspective

Construction site tour of the Skilled Nursing Residence, in Edgartown, on the island of Martha's Vineyard, in Dukes County, Maryland on August 5, 2024 - 3 by USDAgov. Public domain

The quick read

This discursive paper from the Journal of Advanced Nursing analyzes AI integration in nursing through the Fundamentals of Care framework. It reports that AI offers benefits for workflow optimization and clinical precision via predictive analytics and automated documentation, and argues that reducing administrative burden could theoretically release time for relational care.

The analysis matters because it positions the nurse-patient relationship as the central mediator that AI should enable rather than replace, highlighting ethical integration needs. Uncertainty remains because the paper is theoretical synthesis without empirical outcomes, reporting method, or patient or public contribution.

Main points
  • Paper uses Fundamentals of Care framework dimensions Relationship, Integration and Context to examine AI integration.
  • Authors argue AI should be seen as enabler for person-centred fundamental care, not competitor.
  • Nurse leaders are urged to cultivate AI literacy and keep nurse-patient relationship as central mediator of care.
Gain

When applied to reduce administrative burden, AI can optimize workflow and clinical precision and theoretically free nurses to deepen the therapeutic bond with patients.

The rundown

The paper is framed as a discursive synthesis applying the Fundamentals of Care framework, examining how AI intersects with Relationship, Integration and Context dimensions of nursing practice.

It concludes that nurses must actively participate in the AI lifecycle to prevent infocratic care, with implications for maintaining quality and safe care for citizens.

Sources

Reader signal

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The debate