Voice-to-text anesthesia note transcription

Purpose

1.1. Enable automatic transcription of anesthesia-related notes dictated during procedures using voice input.
1.2. Convert spoken clinical documentation into structured digital text to reduce manual entry for anesthesiologists.
1.3. Accelerate EHR updates, boost accuracy in real-time charting, and support legal/regulatory compliance by promptly recording case details.

Trigger Conditions

2.1. Anesthesiologist initiates voice recording by pressing a button on a mobile/web app or connected medical device.
2.2. New audio file is uploaded to a preconfigured cloud storage, EHR directory, or messaging system.
2.3. Voice input is detected via integration (continuous or on-demand listening) in the OR environment.
2.4. Scheduled end-of-case workflow signals for batch processing of audio notes collected during anesthesia.

Platform Variants

3.1. Amazon Transcribe
• API: StartTranscriptionJob — Input audio file; configure Medical specialty ‘Anesthesiology’.
3.2. Google Cloud Speech-to-Text
• API: speech:recognize — Set medical_model=‘latest_long’; set ‘anesthesiology’ as context.
3.3. Microsoft Azure Speech Service
• API: Speech-to-Text REST — Use ‘conversation’ mode with language set and healthcare vocabulary imported.
3.4. Nuance Dragon Medical One
• Integration: Direct Microphone Stream — Launch auto-upload from hospital desktop software.
3.5. Deepgram API
• Endpoint: /v1/listen — Set medical=true; upload audio via HTTPS multipart file.
3.6. Speechmatics Medical ASR
• API: /v2/jobs — Set tier=‘medical’; ingest anesthesia session files.
3.7. IBM Watson Speech to Text
• API: /v1/recognize — Customize with medical dictionary; stream handler for anesthesia events.
3.8. Philips SpeechLive
• Dictation Source: Philips SpeechMike — Interface with foot-pedal trigger for OR use.
3.9. Verbit
• Dashboard: Medical Transcription — Drag-n-drop anesthesia audio; ensure use of medical terminology module.
3.10. Sonix
• API: Import an audio file; medical-specific glossary loaded for context adaptation.
3.11. Trint
• Integration: Medical preset; batch upload anesthesia team audio from secure S3.
3.12. Rev.ai
• API: /asynchronous/jobs — Set content_type=‘audio/wav’; send anesthesia case file.
3.13. Otter.ai
• Meeting Capture: Create a folder ‘OR Sessions’; auto-sync app to session files.
3.14. Voci Technologies (MedTranscribe)
• API: /api/transcribe — POST anesthesia dictation with user credentials.
3.15. Suki Assistant
• Mobile App: Enable ‘Operating Room’ shortcut; review transcribed notes directly in app.
3.16. Meditech Expanse
• API: Clinical Documentation Import; set upload method to ‘Audio’ for anesthesiology.
3.17. Epic Systems — Haiku Voice Dictation
• Configuration: Epic Haiku mobile app; voice dictation module for anesthesia notes records in patient chart.
3.18. Cerner PowerChart Voice
• Tool: Record and transcribe; route dictations from anesthesia module to transcription queue.
3.19. 3M M*Modal Fluency
• Configuration: OR dictation mic workflow; set ‘anesthesiology note’ output destination.
3.20. LumenVox Speech Recognition
• API: /rest/recognize — Specify medical channel, match OR room audio profile.

Benefits

4.1. Reduces anesthesiologist time spent on manual clinical documentation.
4.2. Minimizes risk of omitted or misremembered details during high-stress cases.
4.3. Ensures faster, more reliable EHR entries for anesthesia events.
4.4. Supports regulatory and audit readiness via accurate and timestamped clinical records.
4.5. Frees up clinician time for direct patient care and safety checks.