Product
Emergency Medicine Ambient AI Scribe
Ambient AI for
the pace and complexity of
the emergency department
Every moment matters in the emergency department, where clinicians juggle lifesaving care, rapid assessments, coordination across multiple teams, and detailed documentation–all at once.
Ambience is the most specialty-tuned, Epic-integrated ambient AI technology built for the ED, blending into fast-paced workflows without compromising quality, compliance, or accuracy.

Used in EDs nationwide
since 2024
75K+
encounters
10+
sites spanning spanning rural and urban hospitals across Level II-V trauma centers
Streamlined ED Workflows
A seamless workflow in the ED starts with a robust Epic integration: Ambience reads and surfaces ICD-10 diagnosis codes, and writes back to key documentation sections including HPI, PE, results, ROS, patient instructions, and more.
One-tap launch
Once providers assign themselves a patient on the ED Trackboard, the patient’s information instantly appears in the Ambience mobile app.
Mid-encounter notes
Enables the capture of initial details (such as HPI) during intake, then pausing and resuming a recording for MDM and disposition. This stepwise approach keeps care teams informed while maintaining flexibility for completing the ED course and finalizing the MDM.
Visit hopping
Clinicians effortlessly switch between patients without interruption, Ambience can handle unlimited simultaneous recordings.
Smart dictation
Generates documentation using natural speech, ideal for building differential diagnoses, developing ER courses, coordinating consults, or generating follow-ups.
Context-aware patient summaries
Automatically generates patient instructions at a clear, patient-friendly reading level, ready upon disposition or discharge.
Optimized CDI & Billing
Improve coding accuracy, capture critical care documentation, and streamline reimbursement.
Critical care nudging
Structured, discrete documentation
ICD-10 diagnosis coding
Surfaces accurate and specific diagnosis codes and generates coding-compliant MDM documentation.