MedScribe AI
A clinician-led AI company pioneering ambient clinical documentation, processing hundreds of thousands of clinical encounters weekly across dozens of health systems.
Medical Term Recall
Updated 5 min ago via Autoblocks
Overview
Test Description
Tracks accuracy of medical terminology transcription.
Key Metrics
Overall Medical Term Recall
96.6%
Evaluation
Methodology
Calculation of recall rate for medical terms compared to gold standard transcripts, with particular focus on newly minted medication names.
Interpretation of scores
Higher recall rates indicate better performance. Significantly outperforms off-the-shelf medical ASR systems.
Dataset
Dataset Description
Curated challenge datasets specifically designed to test medical terminology accuracy, including newly released medication names and complex medical terms.
Dimensions
Term Type
Medications96.8%
Diagnoses96.4%
Procedures96.5%