MicromeetAI
Microware Group · HKEX: 1985
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Scribe

Can AI accurately transcribe Cantonese clinical consultations?

Yes — but accuracy depends on a model trained for spoken Cantonese and clinical vocabulary, not a generic engine. Everyday Cantonese mixes colloquial speech, English medical terms, and code-switching, which trips up tools tuned for Mandarin or English. Micromeet's V2N (Voice-to-Note) AI Scribe is built for this: it reaches 95%+ accuracy on an internal medical dataset for Cantonese and turns a Hong Kong consultation into a structured draft note (Voice-to-EMR). It handles the same encounter in 50+ languages, including Cantonese, Mandarin, and English in one conversation. Crucially, the output is a draft a doctor reviews, edits, and signs — never an auto-filed record. This is governed healthcare AI: AI writes. Doctors decide.

The hard part of Cantonese clinical speech is not the language alone but how it is actually spoken in a Hong Kong clinic: colloquial phrasing, drug and procedure names in English, and switching between Cantonese, Mandarin, and English mid-sentence. A scribe tuned only for one language drops or garbles exactly the terms a clinical note depends on. A model trained on real Cantonese medical conversation handles the mix, then maps it to the structure a note needs — history, findings, plan — rather than a flat transcript.

Accuracy is necessary but not sufficient. Even a strong transcript is a starting point, not a record: the V2N AI Scribe produces a draft that the clinician reviews, corrects, and signs before anything enters the EMR (Electronic Medical Record). That review step is what keeps the workflow safe and the doctor accountable, however good the underlying model is. AI writes. Doctors decide.

Related questions

Why not just use a Mandarin or English transcription tool?+
Because Hong Kong consultations are spoken in Cantonese with English medical terms and frequent code-switching. A Mandarin- or English-tuned engine misreads colloquial Cantonese and drops mixed-language terms, producing notes a clinician must heavily rewrite. A Cantonese-trained clinical model is built for that reality.
Is the Cantonese transcription a finished medical record?+
No. It is a structured draft the clinician reviews, edits, and signs before it enters the EMR. The AI handles the listening and drafting; the doctor stays responsible for what is recorded, which keeps the documentation governed and auditable.

Micromeet — AI for governed healthcare. MCU CoPilot, AI Scribe (Voice-to-EMR), AI Front Desk, Care Loop, Claim Readiness and AI Care Command Center — every output doctor-reviewed. AI writes. Doctors decide. See the public benchmark →

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