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Abridge

Ambient AI that drafts clinical notes from patient conversations

Product with AI agentsCopilot

Last reviewed 2026-06-18

Abridge builds ambient clinical documentation software. Its system listens to clinician-patient conversations and, the company states, generates draft clinical notes that flow into the electronic health record, spanning pre-visit, during-encounter, and post-visit workflows and extending into medical coding. Abridge positions the technology as "auditable AI" that maps generated summaries back to source audio so clinicians can verify content; per the company and its EHR partners, drafts are reviewed by the clinician before being finalized and signed. It is widely described in the press as a category leader, in part due to early, deep Epic integration. All documentation-time-savings, accuracy, and burnout claims originate from the company or its partners and are not independently verified; this entry treats them as such.

What it can do

  • Capture and draft clinical notes from conversation

    Copilot

    Ambient listening during an encounter generates a structured draft note that the clinician reviews, edits, and signs before it enters the record.

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  • Map summaries to source (auditable AI)

    Copilot

    Links generated content back to the underlying conversation so clinicians can verify what was captured.

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  • Generate medical codes from documentation

    Copilot

    Converts notes into AI-suggested billing codes that are reviewed by a human before use.

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  • Embed in EHR clinical workflows

    Copilot

    Runs inside Epic (named Epic's first Pal) and other EHRs; notes enter the record only after clinician action.

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Strengths

  • +Deep EHR integration (Epic's first Pal, athenahealth) lowers workflow friction
  • +"Auditable AI" links output back to source so clinicians can verify it
  • +Broad real-world deployment across health systems and specialties, with strong investor confidence

Limitations

  • Clinician review is mandatory and remains real work; safety still depends on the human reviewer
  • Accuracy, time-savings, and burnout claims are vendor or partner figures, not independently verified, and AI scribes can introduce errors
  • Enterprise-only with no public pricing or self-serve, so cost is opaque

Overview

Abridge builds ambient clinical documentation software that listens to clinician-patient conversations and drafts notes into the EHR, extending into medical coding. It is widely described as a category leader, partly due to early, deep Epic integration.

What it does

The system captures the encounter and generates a draft note the clinician reviews, edits, and signs. Its "auditable AI" links generated content back to the source audio for verification, and it suggests medical codes for human review. Notes enter the record only after clinician action. Time-savings and accuracy figures are vendor or partner claims, not independently verified.

Integrations & setup

Embedded in Epic (named Epic's first Pal) and athenahealth, with a Mayo Clinic nursing collaboration. Public developer APIs are not documented; integration runs through EHR partnerships.

Pricing

Enterprise, contact-sales. No public pricing; third-party estimates vary widely and are unverified.

Best for / not for

Best for health systems wanting ambient documentation tightly integrated into the EHR. Not a hands-off tool: clinician review is required, and buyers should weigh documentation-integrity and billing-compliance risk.

Alternatives

Nabla offers comparable ambient documentation; Hippocratic AI focuses on patient-facing voice outreach.

What people are saying

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FAQ

Does the clinician review Abridge's notes?+

Yes. Per the company and its EHR partners, the AI produces a draft that the clinician reviews, edits, and signs before it enters the medical record. Abridge also offers an auditable view linking content back to the source conversation.

Are Abridge's accuracy claims verified?+

No. Documentation-time-savings, accuracy, and burnout figures come from the company or its partners and have not been independently verified.

Sources

Last reviewed 2026-06-18

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