Impact of an Artificial Intelligence–Based Assistant on the Quality of Individualized Care Plans in Patients Undergoing Renal Replacement Therapy: A Randomized Crossover Experimental Study

This randomized crossover experimental study evaluated the impact of a generative Artificial Intelligence (AI) assistant on the quality and efficiency of Individualized Care Plans (ICPs) for patients undergoing renal replacement therapy. Twenty nephrology nurses developed ICPs based on four simulated clinical cases under two conditions: standard documentation and AI-assisted documentation (AI-generated draft reviewed by the nurse). ICP quality was assessed using a structured checklist based on NANDA-I, NOC, and NIC standardized nursing languages (NNN) by two independent blinded reviewers. Time to completion was also recorded. AI-assisted ICPs demonstrated significantly higher quality scores and reduced completion time compared with standard documentation, with high inter-rater reliability.