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Ambient AI scribe in pediatric outpatient visits: documentation burden, quality, and scale-up limits
Violeta Vallejo1, Jordi Farreras2, Laura Valero1
1Servicio de Pediatría, Hospital Sant Joan de Déu, Esplugues de Llobregat, Barcelona, España.
Medicina Clinica
|July 14, 2026
Summary
Artificial intelligence (AI) medical scribes improved clinician-patient interaction and documentation quality in Spanish pediatric clinics. However, technical issues and low adoption rates require further attention for successful implementation.
Area of Science:
- Medical Informatics
- Artificial Intelligence in Healthcare
- Pediatric Clinical Practice
Background:
- Artificial intelligence (AI) medical scribes aim to alleviate clinician documentation burden.
- Evidence for AI scribe implementation in Spanish pediatric settings is scarce.
Purpose of the Study:
- To assess the implementation of an AI medical scribe in pediatric outpatient clinics.
- To examine impacts on clinician-patient interaction, documentation quality, and adoption barriers.
Main Methods:
- Prospective observational study (Feb-Oct 2025) at a tertiary pediatric hospital.
- Involved 40 physicians across 3 subspecialties and 197 documented visits.
- Utilized direct observations, clinician/patient surveys, and rubric-based quality assessment (mPDQI-9).
Main Results:
- Increased eye contact (95.7% vs. 78.6%) with no change in visit duration.
- Improved documentation accuracy, completeness, organization, and overall quality.
- More frequent documentation of patient information provided (80% vs. 20%); 33-38% post-visit review time.
Conclusions:
- AI medical scribes show promise in enhancing pediatric clinical interactions and documentation.
- Persistent technical challenges and limited clinician adoption hinder widespread deployment.
- Addressing identified barriers is crucial for future AI scribe implementation in pediatrics.
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