Aplicação da Inteligência Artificial na linha do cuidado em enfermagem em acidentes por Bothrops atrox

Abstract

This study aimed to analyze the nursing care pathway of patients affected by Bothrops atrox snakebites using clinical records, with Artificial Intelligence as a supporting tool for organizing and synthesizing the documentation. This is an observational, descriptive, and retrospective study with a quantitative approach, analyzing 20 medical records. Clinical and care-related data were extracted and categorized with the assistance of a generative Artificial Intelligence model for terminological standardization; cases were classified into care-flow groups (A: complete flow ≤6h; B: complete flow with delay/irregular adherence; C: loss to follow-up) and presented as absolute and relative frequencies. A predominance of male patients and rural residence was observed; Group A included most patients with favorable outcomes, while delays in antivenom administration and discontinuity of care were associated with a higher occurrence of local complications. Artificial Intelligence demonstrated usefulness in systematizing records and revealing patterns and gaps in documentation, without replacing clinical judgment. We conclude that the integration of nursing scientific knowledge with Artificial Intelligence resources represents a promising advancement for strengthening the care pathway in snakebite accidents, enhancing efficiency and continuity of healthcare delivery, especially within the Amazonian context.