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Voice agents · Healthcare

Voice agents for healthcare and clinical workflows

In healthcare, transcription accuracy isn't a product feature — it's a patient safety requirement. A misheard drug name or dosage is a clinical risk, not a UX annoyance. Here's how to build ambient scribes, medical intake, and clinical voice agents on infrastructure built for it.

Medical error rate · Lower is better

Clinical terminology accuracy

AssemblyAI Medical ModeDeepgramSpeechmatics Enhanced MedicalDeepgram Nova-3 MedicalAWS Transcribe Medical

Medical entity error rate across providers, lower is better. Source: AssemblyAI benchmarks.

The numbers that matter

Fewer entity errors

87%

Medical Mode reduces medical entity errors ~87% versus the base model — the headline accuracy gain on clinical terminology.

Source: AssemblyAI benchmarks

Medical error rate

3.2%

Medical Mode Missed Entity Rate across specialties — oncology, cardiology, primary care — without retraining.

Source: AssemblyAI benchmarks

Compliance

BAA

Business Associate Agreement available at no additional cost, alongside SOC 2 Type 2, ISO 27001:2022, and PCI DSS v4.0.

Source: BAA FAQ

Self-hosted

48

Concurrent sessions per container for teams that need complete data isolation (Docker + NVIDIA GPU).

Source: Self-hosted deployment

Customer story · Report 3

“We've integrated the newest models from AssemblyAI for pre-recorded audio ASR in our ambient product, and it's been excellent. We're now exploring Universal-3.5 Pro for async and realtime speech-to-text capabilities for new use cases. What's been just as important is the reliability of the platform itself—both technically and in terms of partnership.”

— Gautam Pradeep, Tech Lead, Commure

A different standard

Why healthcare voice agents demand a different standard

Healthcare audio is categorically harder: far-field ambient capture across the room, overlapping speakers (provider, patient, staff, family), dense terminology (drug names, procedures, dosages), and the highest-consequence failure mode of any voice AI application. Generic voice platforms weren't built for this — and "good enough" transcription creates clinical documentation that's actively dangerous.

Purpose-built for clinical terminology

Medical Mode optimizes transcription for medication names, procedures, conditions, and dosages — 3.2% MER, ahead of every general and medical model tested. $0.15/hr add-on.

Medical Mode

Knows who is speaking

Speaker role identification (NURSE, PATIENT, PROVIDER) plus SpeakerRevision for provider/patient/family disambiguation in multi-party encounters.

Universal-3.6 Pro Realtime

PHI handled by default

Automatic PHI redaction (text and audio), keyterms prompting for patient-specific drug lists, and data training opted out by default. Streaming PHI redaction is nearing release.

Medical Mode

Compliance

Not a checkbox — a foundation

AssemblyAI offers a Business Associate Agreement (BAA) for organizations subject to HIPAA, included at no additional cost. SOC 2 Type 2, ISO 27001:2022, and PCI DSS v4.0 certified, with data training opted out by default.

For complete data isolation, a self-hosted deployment runs as Docker containers with NVIDIA GPU support — up to 48 concurrent sessions per container.

Certifications & controls

  • BAA available
  • SOC 2 Type 2
  • ISO 27001:2022
  • PCI DSS v4.0
  • Self-hosted option

The paths

Two paths for healthcare deployments

Both run on the same Universal-3.6 Pro Realtime foundation with Medical Mode — add LLM Gateway and the Text-to-Speech API for a front-office agent, or stream the exam room into an ambient scribe.

Recommended

Healthcare voice agent stack

Patient intake, triage, scheduling, front-office

$0.45 /hr

+ $0.15/hr Medical Mode · Text-to-Speech $15 per 1M characters

  • Universal-3.6 Pro Realtime with Medical Mode hears drug names and dosages
  • LLM Gateway routes the transcript to the LLM of your choice, or bring your own
  • Text-to-Speech API reads dates, times, and confirmation codes exactly as written
  • Your orchestrator (LiveKit, Pipecat) handles tool calls for EHR lookups and scheduling
  • Best for: front-office and patient-facing agents
Build a healthcare voice agent

Bring your own stack

Universal-3.6 Pro Realtime STT

The ambient scribe architecture

$0.45 /hr

+ $0.15/hr Medical Mode add-on

  • Stream exam-room audio → Medical Mode + diarization + PHI redaction
  • far_field voice_focus for room capture
  • SpeakerRevision for provider/patient/family
  • Pipe structured output to your SOAP-note generator and EHR
  • Best for: ambient clinical documentation
Learn more

Proof

Built for teams who can't get it wrong

Specialized infrastructure lets clinical teams focus on workflow, not a general-purpose speech pipeline.

Healthcare readiness

  • Medical terminology accuracy Pass
  • Speaker separation Pass
  • PHI redaction Pass
  • BAA available Pass
  • Data isolation option Pass
  • JotPsych (behavioral health documentation). “In the medical context, accuracy is highly important, and there can be multiple people present — separating them is key. The biggest impact AssemblyAI has had is enabling our team to focus on workflow features rather than a general speech-to-text pipeline.”

  • Careship. 36% improvement in WER, turning qualitative research into better healthcare experiences across Europe.

  • Works across specialties. Oncology, cardiology, primary care — no retraining.

  • Structured, EHR-ready output. Diarized, PHI-redacted transcripts feed SOAP-note generation.

Build clinical voice AI on infrastructure built for it

Get your API key, or talk to us about a BAA and self-hosted deployment.

Frequently asked questions

What is the best speech-to-text API for medical transcription?

AssemblyAI's Medical Mode posts a 3.2% Missed Entity Rate — the lowest across benchmarked providers (Deepgram, Speechmatics, AWS, Google) — and is purpose-built for medication names, procedures, conditions, and dosages. It activates with a single parameter (domain: "medical-v1") on both pre-recorded and streaming models and works across specialties without retraining.

How do I build an AI medical scribe?

Stream exam-room audio to Universal-3.6 Pro Realtime with Medical Mode, speaker diarization, and PHI redaction enabled, then pipe the diarized, structured transcript into your SOAP-note generator and EHR. voice_focus (far_field) handles ambient room capture and SpeakerRevision disambiguates provider, patient, and family. Pricing is $0.45/hr base plus a $0.15/hr Medical Mode add-on.

Can you build a voice agent for telehealth triage?

Yes. Build intake and triage agents on Universal-3.6 Pro Realtime with Medical Mode, LLM Gateway, and the Text-to-Speech API. Start from the LiveKit or Pipecat reference implementation, which wires all three together on one API key and one bill, and let your orchestrator handle tool calls for EHR lookups and scheduling. Text-to-Speech starts speaking in about 90 ms and reads dates, times, and confirmation codes exactly as written.

How does AssemblyAI Medical Mode compare to Deepgram Nova-3 Medical?

On medical entity accuracy, Medical Mode posts a 3.2% Missed Entity Rate versus 4.7% for Deepgram Nova-3 Medical — and leads the field against Speechmatics Enhanced Medical (3.6%), AWS Transcribe Medical (8.7%), and Google Medical Conversation (24.4%) as well. See the full benchmark table for methodology.

Does AssemblyAI support HIPAA compliance for voice data?

AssemblyAI is considered a business associate under HIPAA and offers a standard Business Associate Agreement (BAA) — at no additional cost — for customers processing protected health information (PHI). It also provides PHI redaction across audio and transcripts, SOC 2 Type 2, ISO 27001:2022, and PCI DSS v4.0, plus a self-hosted deployment option for complete data isolation.

How much does Medical Mode cost?

Medical Mode is a $0.15/hr add-on on top of the model you're using — on Universal-3.6 Pro Realtime streaming ($0.45/hr), that's $0.60/hr in total. Voice agents that talk back also use the Text-to-Speech API, billed at $15 per 1M input characters.