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Current Trends in Nursing II

Trends in nursing are multifactorial and associated with changes in society, within the nursing profession, and in other professions. Notably, telehealth and remote nursing contribute to successful healthcare delivery for numerous patients and help reduce stress for nurses due to nursing shortages. Nurses can reach patients, monitor their conditions, and interact with them using computers, audio, visual accessories, and telephones—for example, remote patient monitoring systems. Likewise,...
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Related Experiment Video

Updated: Jun 29, 2026

High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity
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Published on: September 26, 2025

Conscious justification in using artificial intelligence: A concept analysis for global nursing practice.

Mary Dioise Ramos1, Richard Smith1, Rodmistrial Allen1

  • 1School of Nursing, Louisiana State University Health Sciences Center, New Orleans, LA, USA.

International Journal of Nursing Studies
|June 27, 2026
PubMed
Summary
This summary is machine-generated.

Conscious justification, the reasoned explanation of AI decisions for stakeholders, is crucial for responsible AI in nursing. Defining this concept improves accountability and trust in AI-driven healthcare globally.

Keywords:
AccountabilityArtificial intelligenceClinical decision supportConcept analysisNursing ethicsTechnology in healthcare

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Published on: September 26, 2025

Area of Science:

  • Nursing Informatics
  • Artificial Intelligence Ethics
  • Healthcare Technology

Background:

  • Artificial intelligence (AI) increasingly influences nursing decisions worldwide.
  • Technical explainability of AI is studied, but conscious justification remains undefined.
  • Lack of definition hinders global standards for responsible AI in nursing.

Purpose of the Study:

  • To analyze the concept of conscious justification in the context of artificial intelligence use within nursing.

Main Methods:

  • Concept analysis using Walker and Avant's methodology.
  • Systematic literature search across CINAHL, Google Scholar, PubMed, and arXiv (2015-2025).
  • Thematic synthesis following Walker and Avant's eight-step framework.

Main Results:

  • Conscious justification defined as reasoned, intelligible, and normatively relevant explanations of AI decisions for stakeholders.
  • Six defining attributes identified: intentional-stance reasoning, normative transparency, relational answerability, context-sensitive deliberation, epistemic humility, and auditability.
  • Antecedents include technical infrastructure and AI literacy; consequences include enhanced accountability and trust, with risks like justification theater.

Conclusions:

  • Conscious justification is vital for bridging technical explainability and ethical accountability in global nursing AI.
  • Implementation necessitates integrated efforts in technical systems, normative frameworks, and institutional structures.
  • Cultural context and resource variations are critical considerations for responsible AI deployment in diverse healthcare settings.