MedScribe AI
A clinician-led AI company pioneering ambient clinical documentation, processing hundreds of thousands of clinical encounters weekly across dozens of health systems.
Multilingual Note Generation
Updated 10 min ago via Autoblocks
Overview
Test Description
Quality assessment of notes from non-English conversations.
Key Metrics
Cross-lingual Quality Retention
>80%
Evaluation
Methodology
Comparison of note quality between original English transcripts and translated versions, evaluated by bilingual clinicians.
Interpretation of scores
Strong performance across languages, with non-English notes achieving >80% of English note quality.
Dataset
Dataset Description
Diverse set of clinical conversations in multiple languages with corresponding reference notes.
Dimensions
Language
English4.2/5
Spanish4.1/5
Vietnamese4.1/5
Tagalog4.0/5