| Sumario: | The article focuses on a pilot study evaluating the DRAAI (Dynamic Risk Assessment Artificial Intelligence) system, a pressure injury prediction tool designed for clinical nursing use. The study highlights the challenges of integrating AI into healthcare, emphasizing that successful implementation depends more on relational and social workflow factors than on technical accuracy alone. Nurses valued DRAAI primarily as a reminder rather than a definitive decision-maker, underscoring the need for AI systems to support rather than replace clinical judgment. The study also identifies critical issues such as the demand for algorithmic explainability, risks of over-reliance on AI potentially diminishing core nursing skills, and the importance of involving patients to create a collaborative care model. Overall, the research calls for future work to address professional autonomy, real-time transparency, and the long-term impact of AI on clinical practice.
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