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Emergency medicine

Fast-paced ED audio, captured accurately

Emergency-department transcription converts fast, overlapping ED speech into an accurate clinical record in real time. AssemblyAI's Medical Mode, a one-parameter add-on to Universal-3.5 Pro, holds a 3.2% Missed Entity Rate on clinical conversations — the lowest across benchmarked providers — on trauma-bay, triage, and shift-change audio. BAA available.

Emergency documentation is the hardest case: rapid speech, overlapping voices, critical drug names and doses, no time to correct. Universal-3.5 Pro with Medical Mode holds a 3.2% Missed Entity Rate under that pressure, in real time, so the record keeps pace with the room.

Speed and accuracy at the same time — where ED documentation usually forces a trade-off

Missed Entity Rate 3.2%

Missed Entity Rate on clinical conversations with Medical Mode.

Fewer missed entities ~20%

Fewer missed medical entities than the base model without Medical Mode.

Fewer entity errors 87%

Fewer medical entity errors than the base model.

Benchmarked providers #1

Lowest Missed Entity Rate vs. Deepgram, Speechmatics, AWS, and Google.

Benchmarks

Emergency department transcription accuracy vs. other providers

Missed Entity Rate is the share of clinical entities — medication names, dosages, diagnoses — that a model fails to transcribe correctly. Lower is better.

Missed Entity Rate and Word Error Rate on clinical conversation audio Lower is better. Medical Mode enabled via domain: "medical-v1".
Provider Missed Entity Rate Word Error Rate
AssemblyAI Universal-3.5 Pro w/ Medical Mode 3.2% 5.3%
Speechmatics Enhanced Medical 3.6% 5.5%
Deepgram Nova-3 Medical 4.7% 6.1%
AWS Transcribe Medical 8.7% 5.9%
Google Medical Conversation 24.4% 12.9%
See the full benchmarks
Activation

Real-time capture under pressure

Stream the room's audio and keep the record in step with a fast ED — one WebSocket, one parameter, no model swap.

from assemblyai.streaming.v3 import StreamingClient, StreamingParameters

client = StreamingClient(api_key="YOUR_API_KEY")

# Emergency medicine: rapid speech, critical meds/doses
client.connect(StreamingParameters(
    speech_model="universal-3-6-pro",
    domain="medical-v1",
    keyterms_prompt=["epinephrine", "1 mg", "tachycardia", "STEMI"],
))
Worked example

Triage handoffs and shift-change documentation

ED speech is fast, overlapping, and often two conversations deep. Medical Mode holds the medication names, dosages, lab values, and scoring instruments a handoff turns on — captured live, in a curtained bay, at far-field distance.

Shift-change handoff -> structured summary

Bed 4, 68M, chest pain onset 0340, EMS gave 324 ASA
and 0.4 SL nitro x2. Trop 0.04 -> repeat pending at
0600. EKG: NSR, no ST elevation. HEART score 4.
Cards consulted, awaiting callback.

Bed 7, 34F, MVC restrained driver. FAST negative.
CT C-spine and abd/pelvis pending. 2 units T&C held.

Captured under trauma-bay noise, overlapping speech,
and a curtained bay - drug names, dosages, lab values,
and scores all have to land on the first pass.

Critical-med accuracy

Emergency drugs and doses (epinephrine, 1mg) captured where errors are most consequential.

Universal-3.5 Pro

Low latency, no trade-off

Streaming transcription keeps documentation in step with a fast room.

Universal-3.6 Pro Realtime

Robust on chaotic audio

Overlapping speech and trauma-bay noise handled without fabricated text.

Medical Mode

Trusted by the world’s leading enterprises

Metaview
Dovetail
Granola
Apollo.io
Ashby
Siro
Calabrio
Cluely
Genio
Commure
Retell
CallRail
LiveKit
EliseAI
ClickUp
HeyGen
Metaview
Dovetail
Granola
Apollo.io
Ashby
Siro
Calabrio
Cluely
Genio
Commure
Retell
CallRail
LiveKit
EliseAI
ClickUp
HeyGen
Metaview
Dovetail
Granola
Apollo.io
Ashby
Siro
Calabrio
Cluely
Genio
Commure
Retell
CallRail
LiveKit
EliseAI
ClickUp
HeyGen
Metaview
Dovetail
Granola
Apollo.io
Ashby
Siro
Calabrio
Cluely
Genio
Commure
Retell
CallRail
LiveKit
EliseAI
ClickUp
HeyGen

Common questions