[Perception of the impact of AI medical scribes on quality of care: cross-sectional study in pre-implementation phase in a pediatric hospital].

BACKGROUND: Ambient artificial intelligence scribes (AI scribes) are emerging as tools to optimize clinical documentation, although the need persists to evaluate their comprehensive impact on quality of care beyond operational efficiency. The aim of this study is to explore the perception of medical professionals in a tertiary pediatric hospital regarding the expected impact of AI scribes on effectiveness, efficiency, patient safety, and patient experience, and to identify facilitators and barriers to their adoption. METHODS: Cross-sectional observational study using an anonymous survey of 120 physicians in October 2025. Rogers' framework (technology adoption), CFIR (implementation), and WHO/AHRQ quality dimensions were applied. Descriptive analysis, comparison by specialty (Fisher's exact test), and multivariate analysis (PCA and K-Means) were performed. RESULTS: 82% had prior knowledge of this technology and 89% expressed willingness to use it. Perceived improvement was higher for efficiency (80.8%; 95%CI: 72.9%-86.9%) and effectiveness (73.3%; 95%CI: 64.8%-80.4%), while patient safety (35.0%; 95%CI: 27.1%-43.9%) and patient experience (43.3%; 95%CI: 34.8%-52.3%) generated greater uncertainty. Professionals were concentrated in intermediate adoption phases (decision: 32%; implementation: 30%). Multivariate analysis identified three profiles: pragmatic (35.8%), humanistic (43.3%), and resistant (20.8%). Resources considered essential were technical support (87%), training (86%), and time (74%). CONCLUSIONS: Despite high willingness to adopt AI scribes, perceived impact focuses on efficiency and effectiveness, with uncertainty regarding safety and patient experience. Implementation strategies should include specific training that highlights these connections and contextualized pilot evaluations.