Product
Ambulatory CDI
AI-assisted CDI and compliance at the point of care
Ambience’s AI scribing and point-of-care CDI solution was designed to understand the thousands of different coding needs across 100+ specialties and subspecialties, including fee-for-service and value-based care models.
20%
Improvement in accurate diagnosis captured with MEAT-compliant criteria
10%
Uplift in HCC capture
$4.50
Average increase in revenue per E/M visit
A "coding aware"
AI scribe increases compliance
With coding awareness as a core feature, Ambience ensures that documentation and codes align, enhancing compliance and driving efficiency throughout the revenue cycle.
Ambience surfaces accurate and appropriate codes for clinicians to review at the point of care, and structures documentation to support selected codes. This leads to improved compliance and coding accuracy.
Transform your clinical experience.
Power your revenue cycle from the point-of-care.
HCC Capture
Identifies ICD-10 diagnoses, notating which correspond to HCCs, and ensures the documentation includes the required level of detail to support full risk adjustment for programs like Medicare Advantage.
Deeply integrated with major EHRs like Epic, Ambience writes diagnostic codes directly into the EHR and leverages existing diagnoses to inform suggestions, ensuring accurate coding flows smoothly downstream.
Diagnosis write-back
in major EHRs
Automatic modifier-25– detection & documentation
Automatically recommends preventive codes and the correct E/M level with a modifier-25 — plus justifying documentation — during wellness visits, boosting reimbursement without disrupting clinician workflows.
E/M assistant
Assists clinicians with E/M coding by guiding clinicians whether to code by time or complexity with an easy-to-read audit trail, while reducing the risk of missing higher-level codes.
Specialty-specific coding awareness with real-time suggestions
Ambience is trained across various specialties to provide real-time, accurate ICD-10 and service code recommendations that align seamlessly with the documentation generated during patient encounters.
