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April 17, 2026Nursing in Critical Care2 citations

Between Algorithm and Instinct: A Phenomenological Study of Critical Care Nurses' Decision‐Making in AI ‐Supported Care

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SASayed Ibrahim AliMSMostafa Shaban

Key Points

  • The central aim is to explore how AI influences decision-making among critical care nurses.
  • Phenomenological study design
  • In-depth interviews with critical care nurses
  • Analysis of decision-making processes
  • Evaluation of AI impact on nursing practice
  • Strong need for governance around AI in nursing
  • Nurses emphasize the importance of education on AI outputs
  • Clear accountability is necessary for safe AI integration
  • Transparency and explainability of AI systems are crucial for trust

Abstract

Implementing AI in critical care should include governance and education that strengthen nurses' critical appraisal of AI outputs, clarify accountability and support transparent, explainable systems. These steps can help ensure AI's impact enhances safety and efficiency without eroding human-centred critical care nursing.

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Cite This Study

Ali et al. (2026) studied this question.

synapsesocial.com/papers/69e1ce065cdc762e9d8573c7https://doi.org/10.1111/nicc.70480
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