Artificial Intelligence in clinical decision making: perceptions of nursing students
DOI:
https://doi.org/10.29352/mill0222e.43906Keywords:
Artificial Intelligence; decision making; nursing; clinical practice; nursing studentsAbstract
Introduction: Artificial Intelligence (AI) optimises clinical decision-making for nursing students by improving data analysis, diagnostic accuracy and learning, as well as reducing workload and providing evidence-based recommendations.
Objective: To analyse the practical use of artificial intelligence in clinical decision-making by nursing students.
Methods: Descriptive qualitative study of a phenomenological nature, using semi-structured interviews with the aim of understanding the phenomena and lived experiences regarding the use of AI by nursing students in clinical decision-making.
Results: Although AI is seen as supporting clinical decision-making, students emphasise concerns about safety, confidentiality, and resistance to change. Autonomy and traditional knowledge remain essential, with AI recognised for improving efficiency without replacing clinical judgement.
Conclusion: From this study, we can infer that students recognise the value of AI, but report limited use of it in clinical decision-making due to concerns about the reliability of the information.
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