The Documentation Burden
Physicians spend 35–55% of their time on documentation.
Studies consistently show that clinical documentation — writing notes, filling EHR fields, coding diagnoses — consumes more physician time than direct patient care. Burnout, reduced throughput, and after-hours charting are the result.
Medical transcription is harder than general ASR because of specialized vocabulary: drug names (e.g. "clopidogrel", "pantoprazole"), procedural terminology (e.g. "laparoscopic cholecystectomy"), and clinical shorthand (e.g. "HEENT, nares patent, TMs clear"). ELLEXMED's medical-grade ASR is optimized for this vocabulary, not consumer speech.
The Integrated Workflow
Start recording
Click Record in any ELLEXMED visit — no extra hardware required.
Consult naturally
Speak with your patient. ELLEXMED captures audio in the browser.
Stop recording
Audio is uploaded and processed by the selected ASR engine.
Transcript appears
Structured text is available in the visit record within seconds.
Auto-fill EHR
One click runs NLP extraction: diagnoses, medications, vitals, procedures.
Review and sign
Clinician reviews, edits if needed, and submits the visit.
Technical specifications
In-Browser Recording
No extra hardware required — record directly in the ELLEXMED web app
Two STT Engines
Google Cloud STT v2 (medical model) + Groq Whisper — selectable per session
30+ Languages
Multilingual support via Groq Whisper for international clinical environments
HIPAA Compliant
Audio processed server-side, not stored beyond transcription. AES-256 at rest.
Real-Time Processing
Transcript available within seconds of recording end
Downstream Integration
Feeds directly into Automated EHR Filling, AI Suggest, and Clinical Copilot
FAQ
Medical transcription — answered.
What speech-to-text engines does ELLEXMED use for medical transcription?
ELLEXMED supports two ASR engines, selectable per session: Google Cloud Speech-to-Text v2 (with a medical speech model for clinical vocabulary accuracy) and Groq Whisper (a high-throughput inference deployment of OpenAI's Whisper model). Doctors can switch between engines based on their preference, language requirements, or connectivity.
How accurate is ELLEXMED's medical transcription for clinical terminology?
Clinical vocabulary — drug names, procedures, anatomy terms, Latin phrases — is significantly harder than general speech recognition. ELLEXMED's medical STT engines are trained on or optimized for clinical speech. Accuracy is highest for consultation recordings with a single primary speaker in a low-ambient-noise environment. Transcripts are always presented as drafts for clinician review and editing before EHR sign-off.
Does ELLEXMED support multilingual medical transcription?
Yes. Through the Groq Whisper engine, ELLEXMED supports over 30 languages for transcription. The language can be configured per session. This is particularly valuable for multilingual clinical environments and international deployments.
Is patient audio stored by ELLEXMED?
Audio is processed server-side and is not stored beyond the transcription step. Once transcription is complete, the audio buffer is discarded. The resulting transcript text is stored in the patient's visit record, encrypted at rest using AES-256. ELLEXMED does not use patient audio for AI model training.
How does transcription connect to EHR filling and AI Suggest?
The transcript is the foundation for ELLEXMED's downstream AI features. Once transcription completes, the doctor can click 'Auto-Fill EHR' to run NLP entity extraction on the transcript (extracting ICD-10 diagnoses, medications, CPT procedures, vitals, and other structured fields). The transcript is also context for AI Suggest's clinical reasoning step and for the Clinical Copilot's Q&A interface.
What happens if recording fails mid-consultation?
ELLEXMED records audio in segments. If a session disconnects, the captured audio up to that point can still be transcribed. The visit status moves to 'awaiting_transcription' and the doctor can trigger re-transcription once connectivity is restored. The visit remains in draft state until the clinician reviews and submits the EHR.
Does medical transcription work in noisy clinical environments?
Transcription accuracy is affected by background noise, overlapping speakers, and microphone quality. ELLEXMED works best with a good quality headset or directional microphone close to the primary speaker. In busy clinical environments, we recommend using a clip-on or desktop USB microphone rather than a built-in laptop microphone.