Voice-to-Text • 66 Minutes Saved Daily

Clinical Documentation AI Agent

Reduce documentation time by 41% with AI-powered voice-to-text, intelligent templates, and EHR integration. Save 66 minutes daily while improving note quality.

41%
Time Reduction
66min
Saved Daily
$1M
Annual ROI Potential
98%
Accuracy Rate

Advanced Documentation Features

AI-powered tools that understand clinical context and streamline documentation

Voice-to-Text Recognition

Advanced speech recognition optimized for medical terminology

Intelligent Templates

Smart templates that adapt based on patient condition and specialty

EHR Integration

Seamless integration with major EHR systems

Clinical Decision Support

AI suggestions for diagnoses and treatment plans

Compliance Checking

Ensures documentation meets regulatory requirements

Real-time Processing

Instant documentation as you speak

AI Documentation in Action

See how our AI transforms speech into professional clinical documentation

Voice-to-Clinical Note

INPUT: Voice Recording

Patient presents with chest pain, started 2 hours ago, sharp, 7/10 intensity, radiates to left arm...

OUTPUT: Generated Clinical Note

Chief Complaint

Chest pain x 2 hours

History of Present Illness

67-year-old male presents with acute onset chest pain beginning 2 hours prior to arrival. Pain described as sharp, 7/10 intensity, with radiation to left arm. Associated with diaphoresis and shortness of breath. No relief with rest.

Assessment

Acute coronary syndrome - rule out STEMI

Plan

1. Serial EKGs 2. Cardiac enzymes q6h x 3 3. Aspirin 325mg 4. Cardiology consult 5. Chest pain protocol

Template-Based Documentation

INPUT: Template Selection

Template: Diabetes Follow-up

OUTPUT: Generated Clinical Note

Subjective

Patient reports good glucose control at home. No hypoglycemic episodes. Adhering to medication regimen. Some fatigue noted.

Objective

A1C: 7.2% (improved from 8.1%) BP: 128/82 Weight: 185 lbs (down 8 lbs) Feet: No ulcers or deformities

Assessment

Type 2 diabetes mellitus - improved control

Plan

1. Continue current medications 2. Diabetic eye exam due 3. Podiatry referral 4. Return in 3 months

Documentation Time Savings

Calculate how much time you could save with AI documentation

Traditional Documentation

Time per patient note15-20 minutes
Patients per day20-25
Documentation accuracy85-90%
After-hours documentation2-3 hours

With AI Documentation

Time per patient note5-8 minutes
Patients per day25-30
Documentation accuracy95-98%
After-hours documentation15-30 minutes
66 Minutes
Saved Per Day Per Provider

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Join thousands of providers who have reduced documentation burden with AI

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