How accurate does medical speech recognition need to be for Cantonese?
No single accuracy percentage makes Cantonese medical speech recognition ready for clinical use. An institution should test representative, code-switched consultations and assess critical-term errors, omissions, correction effort, note quality, and workflow fit. Micromeet AI Scribe supports Cantonese clinical speech, and clinicians review every draft.
From consultation audio to a reviewable draft
AI Scribe supports Cantonese, Mandarin and English clinical speech. Your institution checks representative mixed-language consultations, correction effort and the clinician-review workflow before use; a generic language score does not establish local performance.
Read the full explanationAfter clinician approval, AI Scribe can use an institution-verified export or integration path. Language performance, permissions and any EMR writeback are checked for your intended workflow; the EMR remains the source of record.
Read the full explanationCantonese clinical speech is demanding because one consultation may mix Cantonese, Mandarin, and medical English, including drug names, dosages, and lab abbreviations, while clinic acoustics vary. A generic language score does not show whether the system preserved the facts that matter in a clinical note.
Evaluation should cover both the transcript and the structured draft. A low word-error rate can still hide a consequential error in a drug, dose, negation, or measurement; useful testing therefore reports the language mix, dataset, metric, error types, and clinician correction effort. The institution should set acceptance criteria for its specialty and workflow, then pilot representative audio before production use.
Micromeet AI Scribe / Voice-to-EMR (V2N) supports 50+ languages, including Cantonese, Mandarin, Indonesian, and English. It prepares draft documentation for clinician review; each institution validates language performance and workflow fit before use. Clinical judgment stays with clinicians; the AI does not diagnose or sign.