Overview

Our Ambient AI Scribe is built on a specialized Large Language Model (LLM) tuned on millions of de-identified clinical encounters. It passively listens to patient-provider dialogue, filtering casual conversation to extract and capitalize distinct medical necessities, populating the EHR in real-time. This reduces documentation time by up to 70%, allowing physicians to see more patients daily.

70%
Less Charting Time
3+
Additional Patients/Day
99%
Accuracy Rate

🎤Voice-to-SOAP Note Generation

Simply speak naturally during patient consultations. Our AI automatically generates comprehensive SOAP notes (Subjective, Objective, Assessment, Plan) in real-time, extracting vital signs, diagnoses, medication plans, and follow-up instructions.

📝Zero-Click Documentation

Automatic generation of HPI (History of Present Illness) and Physical Exam notes.

⚠️Drug Interaction Alerts

Real-time alerts for potential contraindications based on current meds and new prescriptions.

🏷️Automated Coding

AI-suggested E&M (Evaluation and Management) codes based on documentation complexity.

🔍Clinical Decision Support

Evidence-based treatment recommendations drawn from latest medical guidelines.

⚙️Core Capabilities

🎯 Case Study: Internal Medicine Practice, Chicago

Challenge: Providers spending 2+ hours on documentation after clinic hours, leading to burnout.
Solution: Deployed Ambient AI Scribe for real-time SOAP note generation.
Results: Reduced charting time by 70%, allowing physicians to see 3 additional patients daily. Provider satisfaction scores increased by 85%.

⏱️Implementation Timeline

1

Day 1: Plugin Installation

Deploy ambient listening hardware and integrate with EMR system.

2

Day 3: Voice Calibration

AI learns provider-specific accent, terminology, and speech patterns.

3

Day 7: Accuracy Review

First weekly audit to fine-tune AI suggestions and reduce false positives.

4

Day 14: Full Deployment

Live documentation with real-time clinical decision support active.