How to build clinical dictation on AssemblyAI

Clinical dictation is presented as a short, single-speaker transcription workload distinct from ambient scribing, which captures longer multi-speaker encounters in real time. AssemblyAI recommends the Sync API when applications require a verbatim record of speech and the Dictation API when they need both a faithful transcript and a configurable cleaned or structured output, such as a SOAP note or intake-form JSON. Neither short-clip endpoint supports Medical Mode, which provides enhanced medical-entity recognition on pre-recorded and real-time transcription endpoints, so developers should use contextual prompts and tightly scoped specialty-specific keyterms to improve recognition of drug names, dosages, and clinical vocabulary. The guidance also emphasizes that formatting cannot fix transcription errors, advises testing prompts and keyterms carefully to avoid overcorrection, and notes that prior-visit context can improve medical-term recognition. For responsive user experiences, applications can pre-warm shared HTTP connections before recording ends, while PHI deployments should select appropriate US or EU residency endpoints, maintain endpoint consistency, sign a Business Associate Addendum, and consider downstream redaction and data-storage practices.

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