123 AI-based risk predictions: Evaluation of pilot DRAAI 5 Impact • Addressed the challenge of identifying patients at-risk for developing pressure ulcers • Demonstrated feasibility and acceptability of implementing AI in clinical practice • Highlighted the need for ongoing support and communication for successful implementation Keywords Implementation, pressure ulcer, clinical decision-making, risk assessment, information technology, Hospital, nurses, nurse’s responsibilities, fundamentals of care What does this paper contribute to the wider global clinical community? • Demonstrates the feasibility of integrating AI in clinical practice for PU prevention. • Offers valuable insights into the implementation process and key success factors. • Highlights AI’s potential to optimize nursing workflows and improve patient care outcomes.
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