Artificial intelligence in mapping nursing diagnoses, interventions, and outcomes for diabetes management

Key Points

• The research aims to evaluate the effectiveness of AI in mapping nursing practices related to diabetes management.
• Utilized AI tools for cross-mapping nursing diagnoses and interventions
• Employed clinical judgment for validation of AI-generated mappings
• Analyzed discrepancies between AI outputs and human evaluations
• AI significantly expedited mapping processes in nursing diagnoses and interventions
• Human validation improved accuracy by addressing AI inconsistencies
• Integration of AI and clinical reasoning can enhance overall diabetes care outcomes