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Abridge

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AI medical documentation platform that converts doctor-patient conversations into structured clinical notes - integrated with Epic and Oracle Health across major US health systems.

Abridge is an AI-powered ambient clinical documentation platform that records physician-patient conversations and automatically generates structured clinical notes, freeing physicians from post-visit charting. Founded in 2018 by Shiv Rao and a team of physicians and researchers at the University of Pittsburgh, Abridge is used by major health systems including UPMC, Emory Healthcare, and Kaiser Permanente. The platform integrates directly into Epic and Oracle Health (Cerner) workflows to write completed notes into the EHR without copy-paste. Abridge has raised over $150 million in funding with investors including Google Ventures and UPMC Enterprises. The system uses speaker diarization and specialty-aware models to generate documentation appropriate for primary care, cardiology, oncology, and other clinical settings.

#medical-scribe
#clinical-documentation
#healthcare-ai
#productivity
#ehr
#enterprise
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www.abridge.com
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Pricing Model
Healthcare & Medical
Category
2020
Since
Paid
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Key Features

  • Ambient conversation capture records real-time doctor-patient encounters without requiring manual trigger or dictation
  • Epic and Oracle Health integration writes completed clinical notes directly into the EHR record without copy-paste
  • Specialty-aware note generation adapts documentation style for primary care, cardiology, oncology, and other specialties
  • Speaker diarization distinguishes physician and patient speech in multi-participant clinical conversations automatically
  • HIPAA-compliant infrastructure with end-to-end encryption and no patient data used to train any external AI models
  • Post-visit editing interface lets physicians review, correct, and finalize AI-generated notes before signing them
  • Mobile app supports documentation across in-person clinic visits, telehealth appointments, and hospital rounding

Use Cases

  • Primary care physicians reducing post-appointment charting from 30 minutes to under 5 minutes per patient encounter
  • Specialty physicians generating accurate clinical documentation without dictation lag or manual transcription review
  • Health systems deploying ambient AI documentation at scale to reduce clinician burnout and improve care capacity
  • Telehealth providers documenting remote patient encounters without a separate transcription service or additional app

Pros

  • Direct Epic and Oracle Health write-back eliminates the copy-paste bottleneck that makes other scribes less efficient
  • Specialty-aware clinical models produce documentation that matches standards for multiple care settings out of the box
  • No patient data used for external model training addresses the primary compliance concern blocking clinical AI adoption

Cons

  • Enterprise-only health system contracts with no individual clinician self-serve access or published pricing tiers
  • Transcription accuracy in noisy ICU or emergency environments requires more physician editing than quiet clinic settings
  • US-focused Epic and Cerner integrations limit immediate usability for clinicians on other EHR platforms internationally

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