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Accuracy & Metrics

Relaya's Scribe achieves clinical-grade accuracy across Indian medical specialities. Here's how we measure it.

97.3%
Word Accuracy (English)
Indian English accents, clinical vocabulary
94.8%
Word Accuracy (Hindi-English)
Code-switching within consultations
99.1%
Medical Term Accuracy
Drug names, procedures, diagnoses
96.5%
SOAP Structure Accuracy
Correct section placement of findings
95.2%
Speaker Diarisation
Doctor vs patient identification
94.7%
Completeness Score
Key clinical facts captured from consultation

Evaluation Methodology

  • Evaluated against 10,000+ manually transcribed Indian clinical consultations
  • Blind evaluation by licensed physicians (not model developers)
  • Speciality-stratified sampling across general practice, cardiology, orthopedics, pediatrics, dermatology, and 7 others
  • Tested across 15 Indian English accent regions and Hindi dialects
  • Monthly re-evaluation with fresh clinical recordings (never reused test sets)
  • Comparison benchmarks against Google Medical ASR and Whisper Large v3

Continuous Improvement

Every week, our clinical evaluation team reviews a random sample of generated notes against physician gold-standard annotations. Error patterns are categorised, prioritised, and fed into our model improvement pipeline.

Accuracy improvements ship via model updates that require zero action from users. When we improve Hindi code-switching accuracy by 2%, every Relaya user benefits immediately. no app update needed.

We maintain a public accuracy dashboard (available to all customers in their settings) showing real-time model performance metrics for their specific speciality and language mix.

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