ClinicalNoteAI — Conversation Transcription & Clinical Note Generation
Turns doctor-patient conversations into accurate, structured clinical notes automatically — so physicians spend the visit with the patient, not typing notes.
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Workflow & Architecture
How this system works
Doctor–patient conversation recorded during the clinical visit.
Speech-to-text with dialogue segmentation by speaker and topic.
Medical sections identified and structured clinical notes drafted.
Generated notes validated against the transcript for factual accuracy.
Side-by-side transcript and note UI for clinician sign-off.
Overview
Built a pipeline that transcribes doctor-patient conversations, segments the dialogue, identifies medical sections, and generates structured clinical notes with factual consistency checks, displayed alongside the original transcript for review. Currently live in production, used during real doctor-patient visits.
The Problem
Manual clinical note-taking is slow and pulls physician attention away from the patient during visits.
The Solution
Delivered a speech-to-text pipeline with dialogue segmentation, medical section identification, factual consistency checks, and a side-by-side transcript and note review interface.
Key Features
- Speech-to-text transcription of clinical conversations
- Dialogue segmentation and medical section identification
- Factual consistency checks on generated notes
- Side-by-side transcript and generated-note review interface
Outcomes & Business Value
- Reduces physician documentation time during and after visits
- Supports more accurate, structured clinical records
- Factual consistency checks catch documentation errors before notes reach the patient record — addressing the accuracy concern that matters most to clinical teams evaluating AI-generated notes
