AI enhances mapping of nursing diagnoses and interventions for diabetes, suggesting improved patient outcomes.
AI proved effective in expediting and standardizing cross-mapping in nursing. However, human clinical judgment was indispensable to validate and adjust inconsistencies, capturing nuances not identified by AI. The integration of AI with clinical reasoning can strengthen care systematization, support evidence-based protocols, and improve outcomes in patients with diabetes.
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Fernandes et al. (2026) studied this question.
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