Add Ambient Clinical Documentation Medical Scribe#100
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Synopsis
Pipecat + AssemblyAI Universal Streaming template for an ambient clinical documentation scribe: passively transcribes doctor-patient conversations with medical keyterm boosting, post-processes each turn through AssemblyAI's LLM Gateway (Claude Haiku 4.5) for terminology correction, and auto-generates structured SOAP notes at session end. Ships with Python pipeline, Next.js client, Dockerfile, and tuned VAD config (800ms stop_secs) for natural clinical pauses.
Reasoning
Clears all disqualifiers: public repo with concrete artifacts, named healthcare/medical-scribe outcome, multi-component stack (STT+LLM+orchestration), not a single-vendor hello-world. The README is highly schema-able with explicit components, configuration parameters, and a named model string. Forkable as a clone-and-run repo. The passive-listening scribe with SOAP-note generation is a specific, named clinical use case — exactly the shape SpeechStack wants. Web-only transport (no telephony/TTS) is appropriate for an ambient in-room scribe.
Claude raw output
{ "id": "medical-scribe-ambient-clinical-documentation", "slug": "medical-scribe-ambient-clinical-documentation", "tags": [ "medical-scribe", "ambient-documentation", "soap-notes", "clinical-workflow", "passive-listening", "medical-terminology", "real-time-transcription" ], "title": "Ambient Clinical Documentation Medical Scribe", "config": { "vad": { "stop_secs": 0.8, "confidence": 0.6, "min_volume": 0.4 }, "mode": "passive_listening", "output_format": "SOAP_notes", "medical_keyterms": [ "hypertension", "diabetes mellitus", "coronary artery disease", "metformin 1000mg", "lisinopril 10mg", "atorvastatin 20mg", "chief complaint", "history of present illness", "review of systems", "auscultation", "palpation", "echocardiogram", "hemoglobin A1c", "blood pressure", "oxygen saturation" ], "llm_gateway_model": "claude-haiku-4-5-20251001", "silence_threshold_ms": 800 }, "source": "github_discovery", "license": "Proprietary", "metrics": { "cost_display": null, "latency_p50_ms": 300, "latency_p95_ms": null, "latency_display": "Sub-300ms streaming transcription", "cost_per_minute_usd_max": null, "cost_per_minute_usd_min": null }, "demo_url": null, "industry": "healthcare", "pipeline": { "llm": "Claude Haiku 4.5", "stt": "AssemblyAI Universal-2", "tts": "Cartesia Sonic Turbo", "telephony": "Web Only" }, "use_case": "transcription-and-summary", "framework": "Pipecat", "languages": [ "en-US" ], "created_at": "2025-05-17T10:30:00-07:00", "raw_prompt": null, "updated_at": "2025-05-17T10:30:00-07:00", "contributor": { "github": "seanflyyy" }, "description": "A passive voice AI agent that listens to doctor-patient conversations in real time, transcribes speech with medical terminology boosting, and automatically generates structured SOAP notes at session end without interrupting clinical workflow.", "prompt_file": null, "github_source_url": "https://github.com/sampleapp-ai/assemblyai-medical-scribe-pipecat" }Dedup decision
F6 dedup has not landed yet; no dedup decision available.
Reviewer notes
approve-to-pr running: