Scribe

Is there a Cantonese AI medical scribe for Hong Kong clinics?

Yes. Micromeet's AI Scribe (Voice-to-EMR / V2N) handles Cantonese clinical speech directly, which is a hard differentiator in Hong Kong because most medical speech AI is English-first and struggles when clinicians code-switch between Cantonese, Mandarin and medical English mid-sentence. On Cantonese medical speech it reaches 95%+ accuracy on internal medical dataset, and it supports 50+ languages including Cantonese, Mandarin and English. AI writes. Doctors decide.

Cantonese is one of the hardest tests for medical speech AI. Hong Kong clinicians routinely code-switch — a Cantonese sentence carrying English drug names, dosages and lab abbreviations, with Mandarin mixed in — and consumer speech engines trained mostly on English break down under exactly these conditions. A scribe that genuinely works in a Hong Kong clinic has to be purpose-built for this multilingual, medical-vocabulary reality rather than adapted from a Western English-first product.

Micromeet's AI Scribe / Voice-to-EMR is built for it: it reaches 95%+ accuracy on internal medical dataset on Cantonese medical speech and supports 50+ languages including Cantonese, Mandarin and English. The scribe is currently piloting and in development, and it runs as governed healthcare AI — it drafts the structured note from the consultation, and the clinician reviews and approves before anything enters the record. The practical integration path is to work on top of the EMR or hospital information system already in place, so the tool replaces a step instead of adding one.

Related questions

Why is Cantonese harder than English for a medical scribe?+
Hong Kong clinical speech mixes Cantonese, Mandarin and medical English within single sentences, uses its own conventions for symptoms and findings, and has far less clinical training data than English. Generic English-first speech recognition performs poorly; a purpose-built multilingual scribe is required.
Does the Cantonese scribe write straight into the EMR?+
Only what a clinician approves. The practical path is to work on top of the existing EMR or hospital information system — embedding in the clinician's screens and writing back only approved content, or handing off via structured export — so it replaces a documentation step rather than adding one.

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 →