Ambient Clinical Documentation

Audio from patient visits is transcribed and summarized into clinical notes, reducing documentation time and EHR use.

Business impact

• EHR usage time — Clinicians spend fewer minutes daily interacting with electronic health records
• Documentation time — Time required to complete clinical notes is significantly decreased
• Patient visits per week — Clinicians can see more patients due to time saved on documentation

Data requirements

• Audio recordings of patient-clinician conversations (Audio) — Capture dialogue to transcribe and generate clinical notes automatically
• Electronic health record data (Structured) — Integrate generated notes and patient history for comprehensive documentation
• Clinical guidelines and coding standards (Text) — Ensure notes comply with medical and billing requirements

AI methods and techniques

• Generative AI — Create draft clinical notes from transcribed patient encounters
• Predictive AI — Anticipate relevant clinical details and coding elements for documentation

AI models and model families

GPT-4o, Claude, Llama

Industries

Real-world evidence

4 documented case studies on record.

Companies using this: CommonSpirit Health, Epic, Mass General Brigham, Zoom Video Communications.