enterprise
Introducing Real-time Prior Authorization
In Partnership with Highmark Health and AHN
Generative AI Platform for Clinical Conversations
Clinically useful and billable AI notes at the point of care, integrated directly into EHR workflows. Powered by the Abridge Contextual Reasoning Engine.
Abridge Contextual Reasoning Engine
Leading healthcare AI infrastructure, powering the most trusted billable, clinically useful, and compliant notes at the point of care.
Powering Advanced CLINiCAL NOTES
From Conversations to Clinically Useful Notes
Unlock contextually aware notes with dynamically integrated data from previous patient encounters, health system-specific guidelines, and clinician preferences.
From Conversations to Problem Prediction
Automatically capture more precise problems with AI models that intelligently recognize and group medical issues with language that aligns with appropriate billing codes.
From Conversations to Actionable Outputs
Lighten the cognitive load on clinicians by capturing EHR-integrated and actionable outputs, like medical orders, for clinician review.
From Conversations to Evidence-Based Notes
Generate auditable and compliant notes, tying AI-drafted outputs to source information across all input data—powered by Linked Evidence.
Customer Case Studies
Christus Health Decreases Cognitive Load by 78% with Abridge
UVM Health Network Improves Professional Fulfillment by 53%
“Abridge was created by clinicians to capture the patient story, and drafts notes in an authentic, clinical voice.”
Dr. Manisha Loss, Associate CMIO — Johns Hopkins Medicine
View press release
Enterprise Security and Compliance
With Abridge Enterprise, healthcare systems get all the tools they need to easily manage security, compliance, and deployments—for all clinicians, in one place.
As a clinician-led company with deep academic roots, we are committed to pioneering trustworthy AI systems. By sharing our insights—derived from investigative research and millions of encounters across the largest health systems in the world—we aim to contribute to the understanding and advancement of AI in healthcare.