What question did this study set out to answer?

The central aim is to explore how AI influences decision-making among critical care nurses.

April 17, 2026

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

Puntos clave

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

Resumen

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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